All Publications

International Publications

2024
1. Gorle, Venkata Lakshmi Narayana, and S. Panigrahi. "A semi-supervised Anti-Fraud model based on integrated XGBoost and BiGRU with self-attention network: an application to internet loan fraud detection." Multimedia Tools and Applications 83, no. 19 (2024): 56939-56964.
2. Biswaranjan Achrya, Sucheta Panda and Niranjan K Ray, “Multiprocessor Task Scheduling Optimization for Cyber-Physical System using an Improved Salp Swarm Optimization Algorithm”, SN Computer Science, Springer, Scopus, Impact Factor- 3.78, SN Computer Science (2024) 5:184 https://doi.org/10.1007/s42979-023-02517-2.
3. Dakhya Prasad Pati and Sucheta Panda, “Performance Evaluation of Modified Gaussian Mixture Model Algorithm for Image Segmentation of Mammogram”,International Journal of Embedded Systems, InderScience Publishers, https://doi.org/10.1504/IJES.2023.139207 Impact Factor – 0.5, Scopus, pp. 312-322, June 2024.
4. Soumya Ranjan Sahu and Sucheta Panda, “A Novel Depth-wise Separable Convolutional Model for Remote Sensing Scene Classification” Journal of the Indian Society of Remote Sensing(ISRS), https://doi.org/10.1007/s12524-024-01904-3, 2024,Impact Factor – 2.2,Springer, SCIE,Scopus.
5. Anchal Kumawat, Sucheta Panda, Vassilis C. Gerogiannis, Andreas Kanavos, Biswaranjan Acharya , Stella Manika , “A Hybrid Approach for Image Acquisition Methods based on Feature Based Image Registration”, Journal of Imaging(Section: Image and Video Processing), Received :6 June 2024,Revised:6 September 2024,Accepted : 11 September 2024, Published : 14 September 2024, 10(9), 228. https://doi.org/10.3390/ jimaging10090228, Impact Factor – 2.7,MDPI, Scopus.
6. Srichandan, Suresh Kumar, et al. "A Secure and Distributed Placement for Quality of Service-Aware IoT Requests in Fog-Cloud of Things: A Novel Joint Algorithmic Approach." IEEE Access (2024).
7. Srichandan, Suresh Kumar, et al. "Efficient latency-and-energy-aware IoT-fog-cloud task orchestration: novel algorithmic approach with enhanced arithmetic optimization and pattern search." International Journal of Information Technology 16.5 (2024): 3311-3324.
8. Bhoi, G., Sahu, R. K., Oram, E., & Jhanjhi, N. Z. (2024). Risk Assessment and Security of Industrial Internet of Things Network Using Advance Machine Learning. In Machine Learning for Cyber Physical System: Advances and Challenges (pp. 267-285). Cham: Springer Nature Switzerland.
9. Manjunatha, D., Vishwakarma, V., Mishra, A., Ravindran, R. E., & Kumari, K. (2024). Kidney Stone Detection Using Ultrasonographic Images by Support Vector Machine Classification. Nanotechnology Perceptions, 93-106.
2023
10. Saha, Munmun, Sanjaya Kumar Panda, and S. Panigrahi. "A modified Brown and Gibson model for cloud service selection." International Journal of Computational Science and Engineering 26, no. 4 (2023): 430-444.
11. Saha, Munmun, Sanjaya Kumar Panda, S. Panigrahi, and David Taniar. "An efficient composite cloud service model using multi-criteria decision-making techniques." The Journal of Supercomputing, Vol. 79, No. 8, pp. 8754-8788, 2023.
12. Anchal Kumawat and Sucheta Panda, “An Integrated Double Hybrid Fusion Approach for Image Smoothing", International Journal of Image and Graphics, World Scientific Publishing Company, Vol. 23, No. 1 (2023) 2350003 (23 pages)DOI : https://doi.org/10.1142/S0219467823500031, Scopus, Impact Factor – 1.6, Unpaid, ISSN: 1793-6756(e_ISSN), 0219-4678(p_ISSN).
13. Biswaranjan Achrya, Ahona Ghosh,Sucheta Panda and Yu-Chen Hu, “ Automated Plant Recognition System with Geographical Position Selection for Medicinal Plants ”, Hindawi , Scopus, Advances in Multimedia, Impact Factor – 1.07,Volume 2023, Article ID 3974346, 11 pages https://doi.org/10.1155/2023/3974346
14. S. Kurman, S.Kisan, “ An in-depth and contrasting survey of meta-heuristic approaches with classical feature selection techniques specific to cervical cancer”, Knowledge and Information Systems,Springer, https://doi.org/10.1007/s10115-022-01825-y, Volume 65, Issue 5, pp 1881–1934,ISSN: 0219-1377, 20 January, 2023
15. S.Rout, D.K. Swain and S.Kisan, “ Protein Secondary Structure Prediction and Perceptions of Complexities using Deep Neural Network”, International Journal on Recent and Innovation Trends in Computing and Communication, ISSN: 2321-8169 Volume: 11 Issue: 9, 2023
16. Shial, Gyanaranjan, Sabita Saho, and Sibarama Panigrahi. "A Nature Inspired Hybrid Partitional Clustering Method Based on Grey Wolf Optimization and JAYA Algorithm." Computer Science 24 (2023).
17. Shial, Gyanaranjan, Sabita Sahoo, and Sibarama Panigrahi. "An enhanced GWO algorithm with improved explorative search capability for global optimization and data clustering." Applied Artificial Intelligence 37.1 (2023): 2166232.
18. Rao, D. C. ., Sharma, S. ., Nayak, S. K. ., Srichandan, S. K. ., & Dash, A. . (2023). A Novel Modified and Optimized Meta-Heuristic Load-Balancing Technique for Cloud Computing System . International Journal of Intelligent Systems and Applications in Engineering, 11(9s), 598–611.
19. Oram, E., Dash, P. B., & Naik, B. (2023). Light-gradient boosting machine for identification of osteosarcoma cell type from histological features. In Computational Intelligence in Cancer Diagnosis (pp. 289-303). Academic Press.
20. Majhi, Santosh Kumar, et al. "Malware image classification: comparative analysis of a fine-tuned CNN and pre-trained models." International Journal of Computers and Applications 45.11 (2023): 709-721.
2022
21. Anchal Kumawat and Sucheta Panda, "Noisy Iris Smoothing And Segmentation Scheme Based On Improved Wildes Method", Multidimensional Systems and Signal Processing, Springer, SCIE, SCI, Scopus, Impact Factor – 2.5,Unpaid,Accepted on September 04, 2022, published online on 28 September 2022, vol : 34, Pages:47-79, DOI : https://doi.org/10.1007/s11045-022-00852-w, ISSN: 1573-0824(e_ISSN) 0923-6082(p_ISSN).
22. Sucheta Panda, P.K.Nanda, “Color and Texture Segmentation Using an Unified MRF Model ”, Journal of Computer and Communications,Vol.10,No.6,June 2022. DOI : 10.4236/jcc.2022.106012
23. Oram, E., Naik, B., Bhoi, G., & Pelusi, D. (2022). Heart Failure Detection from Clinical and Lifestyle Information using Optimized XGBoost with Gravitational Search Algorithm. In Nature-Inspired Optimization Methodologies in Biomedical and Healthcare (pp. 97-112). Cham: Springer International Publishing.
24. Biswaranjan Achrya, Sucheta Panda and Eashwar Sivakumar, “An analytical Study of Multiprocessor Scheduling using Metaheuristic Approach ”, SN Computer Science, Springer, Scopus, Impact Factor- 1.29, Unpaid, Accepted, August 2022, DOI : https://doi.org/10.1007/s42979-022-01398-1.
25. H.K.Paikray, P.K.Das and S.Panda, “ Optimal path planning of Multi-robot in Dynamic environment Using Hybridization of meta-heuristic algorithm”, International Journal of Intelligent Robotics and Applications, Springer, Scopus, Impact Factor – 1.81 , Unpaid, Accepted, August, 2022, DOI : https://doi.org/10.1007/s41315-022-00256-w.
26. Bhoi, G., Oram, E., Naik, B., & Pelusi, D. (2022). Optimized Gradient Boosting Tree-Based Model for Obesity Level Prediction from patient’s Physical Condition and Eating Habits. In Nature-Inspired Optimization Methodologies in Biomedical and Healthcare (pp. 49-69). Cham: Springer International Publishing.
27. K. K. Sahu, S. C. Nayak, and H. S. Behera, “Extreme Learning With Metaheuristic Optimization for Exchange Rate Forecasting,” International Journal of Swarm Intelligence Research (IJSIR), vol. 13, no. 1, pp. 1–25, 2022
28. Oram, E., Naik, B., & Senapati, M. R. (2022). Identification of malicious access in IoT network from connection traces by using light gradient boosting machine. In Computational Intelligence in Data Mining: Proceedings of ICCIDM 2021 (pp. 711-720). Singapore: Springer Nature Singapore.
29. Bhoi, G., Naik, B., Oram, E., & Vimal, S. (2022, April). Gravitational search optimized light gradient boosting machine for identification of malicious access in IoT network. In International Conference on Computational Intelligence in Pattern Recognition (pp. 570-579). Singapore: Springer Nature Singapore.
30. Oram, E., Naik, B., Senapati, M. R., & Bhoi, G. (2022, April). Identification of Malicious Access in IoT Network by Using Artificial Physics Optimized Light Gradient Boosting Machine. In International Conference on Computational Intelligence in Pattern Recognition (pp. 653-662). Singapore: Springer Nature Singapore.
2021
31. K. K. Sahu, S. C. Nayak, and H. S. Behera, “Multi-step-ahead exchange rate forecasting for South Asian countries using multi-verse optimized multiplicative functional link neural networks,” Karbala International Journal of Modern Science, vol. 7, no. 1, p. 7, 2021
32. Anchal Kumawat and Sucheta Panda, “A Robust edge detection algorithm based on Feature Based Image Registration (FBIR) using Improved Canny With Fuzzy Logic (ICWFL)" ”, The Visual Computer, Springer Nature, published on-line on 14 July, 2021,Vol.38, Pages:3681-3702, DOI : http://link.springer.com/article/10.1007/s00371-021-02196-1, SCIE, Scopus, Impact Factor: 3.5, Unpaid, ISSN:1432-2315(e_ISSN),0178-2789(p_ISSN)
33. H.K.Paikray, P.K.Das and S.Panda, “Optimal Multi-robot Path Planning Using Particle Swarm Optimization Algorithm Improved by Sine and Cosine Algorithms”, Arabian Journal of Science and Engineering, January,2021,
34. Oram, E., Dash, P. B., Naik, B., Nayak, J., Vimal, S., & Nataraj, S. K. (2021). Light gradient boosting machine-based phishing webpage detection model using phisher website features of mimic URLs. Pattern Recognition Letters, 152, 100-106.
2020
35. M. Swain, S.Kisan, “Hybridized Machine Learning based Fractal Analysis Techniques for Breast Cancer Classification”. International Journal of Advanced Computer Science and Applications, 2020, ISSN: 2156-5570. DOI : 10.14569/issn.2156-5570 , Vol. 11, No. 10,pp-179-184
36. S. Kisan, B. Sahu, A. Jena, S. N. Mohanty, “Detection of Violence in Videos using Hybrid Machine Learning Techniques”, International Journal of Advanced Science and Technology (IJAST), 29(3), 5386- 5392, 2020
37. S. Kisan, S. Nayak, A. Chawda, S.N. Mishra. “Face Shape Classification based on Modified Relative Improved Differential Box Count Method”. International Journal of Advanced Science and Technology, (IJAST), 2020, Volume 29, Issue 3, ISSN: 2005-4238, ISSN: 2207-6360 (Online),Page:3878-3889
38. K. K. Sahu, S. C. Nayak, and H. S. Behera, “Forecasting Currency Exchange Rate Time Series With Fireworks Algorithm-Based Higher Order Neural Network, With Special Attention To Training Data Enrichment,” Computer Science, vol. 21, no. 4, pp. 463–489, 2020, doi: 10.7494/csci.2020.21.4.3474
39. Dash, P. B., Nayak, J., Naik, B., Oram, E., & Islam, S. H. (2020). Model based iot security framework using multiclass adaptive boosting with smote. Security and Privacy, 3(5), e112.
2019
40. B. Senapati, S.Kisan, “Fractal Image Compression using Region of Interest (ROI)”, Advances in Computer Science and Information Technology (ACSIT), p-ISSN: 2393-9907; e-ISSN: 2393-9915; Volume 6, Issue 1; January-March, 2019, pp. 39-43.
41. Mishra, A. (2019). Resource Allocation by Multi-Coloring Using Different Graph Traversal Methods. International Journal of Research and Analytical Reviews
2018
42. S.Kisan, S. N. Mishra, A. Chawda, S. Nayak, “Estimation of Fractal Dimension in Different color model”, IJKDB-8, IGI Global, DOI: 10.4018/IJKDB.2018010106, pp-75-93, ISSN: 1947-9115, 2018
43. Mishra, Anjana, Bighnaraj Naik, and Suresh Kumar Srichandan. "Missing value imputation using ANN optimized by genetic algorithm." International Journal of Applied Industrial Engineering (IJAIE) 5.2 (2018): 41-57.
2017
44. S. Kisan, S. N. Mishra, S. B. Rout. “Fractal Dimension in Medical Imaging: A Review”. International Research Journal of Engineering and Technology (IRJET),Vol. 4 Issue: 05 e-ISSN: 2395 -0056 p-ISSN: 2395-0072, , May -2017
45. S. Kisan, S. N. Mishra, D. Mishra. “Analysis of Tumor using Fractal Dimension”. International Journal of Advance Computing Technique and Applications (IJACTA), ISSN : 2321-4546, Vol 5, Issue 1, January- June 2017
2016
46. H. S. Behera, S. C. Nayak, S. R. Sahu, and K. K. Sahu, “Forecasting foreign exchange rates using CRO based different variants of FLANN and performance analysis,” International Journal of Computational Systems Engineering, vol. 2, no. 4, p. 190, 2016, doi: 10.1504/ijcsyse.2016.10002375
47. K. K. Sahu, S. R. Sahu, G. R. Biswal, P. K. Sahu, and H. S. Behera, “Chemical reaction optimisation: a hybrid technique applied to functional link artificial neural networks with least mean square learning for foreign exchange rates forecasting,” International Journal of Swarm Intelligence, vol. 2, no. 2/3/4, p. 254, 2016, doi: 10.1504/ijsi.2016.081154.
48. Sucheta Panda “Unsupervised Color Image Segmentation using MRF Models to Preserve Weak Edges”, IJCMS (ISSN:2347-8527),  June, 2016.
2015
49. S. G. K. Patro, P. P. Sahoo, I. Panda, and K. K. Sahu, “Technical Analysis on Financial Forecasting,” 2015, [Online]. Available: http://arxiv.org/abs/1503.03011
50. Sucheta Panda “Edge Detection of Images:An Improved Approach”, International Journal of Research in Computer Science (ISSN:2349-3828), Vol.2, Issue.4, pp: 8-11, 2015.
51. G Shial, SK Majhi, D.B. Phatak, A Comparison Study for File Synchronisation, Procedia Computer Science 48, page 133-141, 2015.
52. S. G. K. Patro and K. K. sahu, “Normalization: A Preprocessing Stage,” Iarjset, pp. 20–22, 2015, doi: 10.17148/iarjset.2015.2305.
53. Sucheta Panda, K.K.Jena, “An Innovative Approach for Edge Detection of Images”, International Journal of Innovative Science, Engineering and Technology (ISSN:2348-7948), Vol.2, Issue.4, pp: 161-176, April, 2015.
54. SK Majhi, G Shial, Challenges in Big Data Cloud Computing And Future Research Prospects, SmartCR 5 (4), page 340-345, 2015.
55. Lakra, Atul Vikas, and Dharmendra Kumar Yadav. "Multi-objective tasks scheduling algorithm for cloud computing throughput optimization." Procedia Computer Science 48 (2015): 107-113.
56. G. Shial, S.K. Majhi, Techniques for file Synchronisation: A Survey, Journal of Global Research in ComputerScience 5 (11) page 1-4, 2015.
2013
57. Mishra, A., Panda, S., & Munjal, D. (2013). Dynamic Slicing of Aspect-Oriented UML Communication Diagram. International Journal of Computer Science and Informatics, 3(2), 58-63.
58. Panda, S. , Mishra, A. , & Munjal, D. (2013). Aspect mining using UML communication diagram'. International Journal of Computer Science and Informatics (IJCSI), 3(2), 52-57.
59. K. K. Sahu, S. PANIGRAHI, and H. S. Behera, “A novel chemical reaction optimization algorithm for higher order neural network training.,” Journal of Theoretical & Applied Information Technology, vol. 53, no. 3, 2013
2011
60. Sucheta Panda, P.K.Nanda, “Constrained Compound Markov Random Field Model with Graduated Penalty Function for Color Image Segmentation ”,Advanced Materials research Vols. 403-408 (2012) pp 3438-3445 Online available since 2011/Nov/29 at www.scientific.net © (2012) Trans Tech Publications, Switzerland doi:10.4028/www.scientific.net/AMR.403-408.3438.
2009
61.  Sucheta Panda, P.K.Nanda, “An Unified Markov Random Field Model for Color Texture Image Segmentation”, International Journal of Intelligent   Information Processing, Vol.3, No.2, pp: 161-176, July-December, 2009.
62. H. Swapnarekha, H. S. Behera, D. Roy, S. Das, and J. Nayak, “Competitive Deep Learning Methods for COVID-19 Detection using X-ray Images,” J. Inst. Eng. Ser. B, pp.1-14,Apr. 2021, doi: 10.1007/s40031-021-00589-3. [SPRINGER] [SCOPUS] [IMPACT FACTOR:0.88][h-Index:13]
63. H. Swapnarekha, H. S. Behera, J. Nayak, and B. Naik, “Covid CT-net: A deep learning framework for COVID-19 prognosis using CT images,” J. Interdiscip. Math., vol. 24, no. 2, pp. 327–352, Feb. 2021, doi: 10.1080/09720502.2020.1857905. [Taylor &Francis][SCOPUS][IMPACT FACTOR:0.64] [h-Index:14]
64. P. Suresh Kumar, H. S. Behera, J. Nayak, and B. Naik, “Bootstrap aggregation ensemble learning-based reliable approach for software defect prediction by using characterized code feature,” Innov. Syst. Softw. Eng., May 2021, doi: 10.1007/s11334-021-00399-2. [SPRINGER] [ESCI, SCOPUS] [IMPACT FACTOR: 1.07] [h-Index:27]
65. P. Suresh Kumar, H. S. Behera, J. Nayak, and B. Naik, “A pragmatic ensemble learning approach for effective software effort estimation,” Innov. Syst. Softw. Eng., Jan. 2021, doi: 10.1007/s11334-020-00379-y. [SPRINGER] [ESCI, SCOPUS] [IMPACT FACTOR: 1.07] [h-Index:27]
66. D. K. K. Reddy, H. S. Behera, J. Nayak, B. Naik, U. Ghosh, and P. K. Sharma, “Exact greedy algorithm based split finding approach for intrusion detection in fog-enabled IoT environment,” Journal of Information Security and Applications, vol. 60, no. June, p. 102866, Aug. 2021, doi: 10.1016/j.jisa.2021.102866. [ELSEVIER, SCIENCEDIRECT][SCIE, SCOPUS] [IMPACT FACTOR: 3.872] [h-Index:40]
67. D. K. Reddy, H. S. Behera, J. Nayak, P. Vijayakumar, B. Naik, and P. K. Singh, “Deep neural network based anomaly detection in Internet of Things network traffic tracking for the applications of future smart cities,” Transactions on Emerging Telecommunications Technology, vol. 32, no. 7, pp. 1–26, Jul. 2021, doi:10.1002/ett.4121. [WILEY] [SCIE, SCOPUS] [IMPACT FACTOR: 2.638] [h-Index:47]
68. K.K. Sahu, S.C. Nayak, H. S. Behera, Multi-Step-Ahead Exchange Rate Forecasting For South Asian Countries Using Multi-Verse Optimized Multiplicative Functional Link Neural Networks, Karbala International Journal of Modern Science, 7.1 (2021): 48-60 (University of Kerbala, Scopus Journal, Unpaid)[SCOPUS] [IMPACT FACTOR: 2.93] [h-Index:17]
69. Pattanayak, R.M., Behera, H.S., Panigrahi, S.: A Non-Probabilistic Neutrosophic Entropy Based Method For High-Order Fuzzy Time-Series Forecasting. Arabian Journal for Science and Engineering, 1-23 (2021), Springer, ( SCI, Scopus ). (IF: 2.334). https://doi.org/10.1007/s13369-021-05718-0[SCI, SCOPUS] [IMPACT FACTOR: 2.334] [h-Index:37]
70. Das, H., Naik, B., &Behera, H. S., (2021). ”Optimal Selection of Features using Artifificial Electric Field Algorithm for Classification”, Arabian Journal for Science and Engineering, Springer. DOI: https://doi.org/10.1007/s13369-021-05486-x [SCI, SCOPUS] [IMPACT FACTOR: 2.334] [h-Index:37]
71. H. Swapnarekha, H. S. Behera, J. Nayak, and B. Naik, “Role of intelligent computing in COVID-19 prognosis: A state-of-the-art review,” Chaos, Solitons & Fractals, vol. 138, p. 109947, Sep. 2020, doi: 10.1016/j.chaos.2020.109947. [ELSEVIER, SCIENCEDIRECT] [SCI] [IMPACT FACTOR: 3.764] [h-Index:139]
72. P. S. Kumar, H. S. Behera, K. Anisha Kumari, J. Nayak, and B. Naik, “Advancement from neural networks to deep learning in software effort estimation: Perspective of two decades,” Computer Science Review, vol. 38. p. 100288, Nov. 2020, doi: 10.1016/j.cosrev.2020.100288. [ELSEVIER, SCIENCEDIRECT] [Indexing: SCIE, SCOPUS] [IMPACT FACTOR: 7.707] [h-Index:44]
73. Pattanayak, R.M., Panigrahi, S., Behera, H.S.: High-Order Fuzzy Time Series Forecasting by Using Membership Values Along with Data and Support Vector Machine. Arabian Journal for Science and Engineering, Springer ( SCI, Scopus ), 45, 10311–10325 (2020). https://doi.org/10.1007/s13369-020-04721-1[Indexing: SCI, SCOPUS] [IMPACT FACTOR: 2.334] [h-Index:37]
74. Pattanayak, R.M., Behera, H.S., Panigrahi, S.: A Novel Probabilistic Intuitionistic FuzzySet Based Model for High Order Fuzzy Time Series Forecasting. Engineering Applications of Artificial Intelligence,https://doi.org/10.1016/j.engappai.2020.104136 [ELSEVIER, ScienceDirect] [Indexing: SCI, SCOPUS] [IMPACT FACTOR: 2.334] [h-Index:104]
75. Das, H., Naik, B., &Behera, H. S., (2020). ”A Jaya Algorithm based Wrapper Method for Optimal Feature Selection in Supervised Classification”. Journal of King Saud University - Computer and Information Sciences, DOI: 10.1016/j.jksuci.2020.05.002 (SCI, Scopus) IF: 13.473 (In Press) [ELSEVIER, ScienceDirect] [ SCOPUS, SCIE ][IMPACT FACTOR: 13.473] [h-Index:33]
76. Das, H., Naik, B., Behera, H. S., Jaiswal, S., Mahato, P., & Rout, M., (2020). ”Biomedical Data Analysis using Neuro-Fuzzy Model with Post-feature Reduction”, Journal of King Saud University - Computer and Information Sciences, DOI: 10.1016/j.jksuci.2020.01.007 [ELSEVIER, ScienceDirect] [SCIE, SCOPUS][IMPACT FACTOR: 13.473] [h-Index:33]
77. Das, H., Naik, B., &Behera, H. S., (2020). ”A Hybrid Neuro-Fuzzy and Feature Reduction Model for Classification”, Volume:2020, pp. 1-15, Advances in Fuzzy System, Hindawi. DOI: 10.1155/2020/4152049 [SCOPUS][IMPACT FACTOR: 1.71] [h-Index:19]
78. Das, H., Naik, B., &Behera, H. S., (2020). ”Medical Disease Analysis using Neuro-Fuzzy with Feature Extraction Model for Classification”,Volume: 18, pp. 1-12, Informatics in Medicine Unlocked, DOI: 10.1016/j.imu.2019.100288 [ELSEVIER, ScienceDirect] [SCOPUS][IMPACT FACTOR: 2.110] [h-Index:21]
79. K.K. Sahu, S.C. Nayak, H. S. Behera, Forecasting currency exchange rate time series with fireworks-algorithm-based higher order neural network with special attention to training data enrichment, Computer Science 21.4 (2020): 463-489. [SCOPUS ][IMPACT FACTOR: 0.81] [h-Index:28]
80. Pandit Byomokesha Dash, Manas Ranjan Senapati, H. S. Behera, Janmenjoy Nayak, S. Vimal, “Self-adaptive memetic firefly algorithm and CatBoost-based security framework for IoT healthcare environment”, Journal of Engineering Mathematics, Springer, online first, 18th December 2023, SCI,https://doi.org/10.1007/s10665-023-10309-z
81. Sibarama Panigrahi, and Himansu Sekhar Behera. "A study on leading machine learning techniques for high order fuzzy time series forecasting." Engineering Applications of Artificial Intelligence 87 (2020): 103245. ISSN: 0952-1976. [ELSEVIER, ScienceDirect], [SCI, Scopus][IMPACT FACTOR: 6.21] [h-Index:104]
82. Sibarama Panigrahi, and H. S. Behera. "Time Series Forecasting Using Differential Evolution-Based ANN Modelling Scheme." Arabian Journal for Science and Engineering 45.12 (2020): 11129-11146. ISSN: 2191-4281 [Springer] [IMPACT FACTOR:2.33][SCI, Scopus] [h-Index: 43]
83. Soumya Das, Monalisa Nayak, Manas Ranjan Senapati “Improving Time Series Prediction with Deep Belief Network”, Journal of Institution of Engineers, Series B, Springer, 25th August 2023, online first, Scopus, EISSN:2250-2114, https://doi.org/10.1007/s40031-023-00912-0
84. Sibarama Panigrahi, and Himansu Sekhar Behera. "Nonlinear time series forecasting using a novel self-adaptive TLBO-MFLANN model." International Journal of Computational Intelligence Studies 8, no. 1-2, 4-26, 2019. [SCIE, SCOPUS] [IMPACT FACTOR: 1.83] [H-index:38]
85. AbhimanyuPatra, Sarojananda Mishra, Manas Ranjan Senapati, Rajesh Kumar Behera, Subhendu Kumar Pani,“Analysis of Multi-class Patterns in corporate hospitals using Time-varying Databases”, Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) ISSN: 1671-5497 E-Publication: Online Open Access Vol: 42 Issue: 05-2023, DOI 10.17605/OSF.IO/4CBSX
86. Chandrakant Mallick, Sarojananda Mishra, Manas Ranjan Senapati, “A cooperative deep learning model for fake news detection in online social networks”, Journal of Ambient Intelligence and Humanized Computing, Springer, 8th February 2023, Scopus, https://doi.org/10.1007/s12652-023-04562-4
87. Sibarama Panigrahi, and Himansu Sekhar Behera. “A computationally efficient method for high order fuzzy time series forecasting.” Journal of Theoretical & Applied Information Technology, 96, pp.7215-7226, 2018. [Scopus, SCI, UGC Care Listed] [IMPACT FACTOR: 0.60] [H-index:29]
88. Sibarama Panigrahi, and Himansu Sekhar Behera. "A hybrid ETS–ANN model for time series forecasting." Engineering Applications of Artificial Intelligence 66 (2017): 49-59. ISSN: 0952-1976 [ELSEVIER, ScienceDirect] [SCI, Scopus] [IMPACT FACTOR: 6.21] [h-Index:104]
89. Anima Pradhan, Manas Ranjan Senapati, Pradip Kumar Sahu, “A multichannel embedding and arithmetic optimized stacked Bi-GRU model with semantic attention to detect emotion over text data”, Applied Intelligence, Springer, published 26 July 2022, ISSN: 0924-669X, SCI Indexed, EISSN 1868-5145, https://doi.org/10.1007/s10489-022-03907-4
90. P. K. Das, H. S. Behera, P. K. Jena, and B. K. Panigrahi. An Intelligent Multi- Robot Path Planning in a Dynamic Environment Using Improved Gravitational Search Algorithm. International Journal of Automation and Computing, Vol-7, pages 1-13, 2016.[SPRINGER][Indexing: SCI, SCOPUS][IMPACT FACTOR: 3.17] [h-Index:36]
91. Monalisa Nayak, Soumya Das, Manas Ranjan Senapati, Santosh Kumar Majhi, “Improving Time Series Prediction with Feature Selection Using a Velocity Enhanced Whale Optimization Algorithm”, International Journal of Swarm Intelligence and Research, vol:-13, Issue-1, Scopus Indexed, pp:1-29, August 2022, ISSN: 1947-9263,doi: 10.4018/IJSIR.307104
92. Anima Pradhan, Manas Ranjan Senapati, Pradip Kumar Sahu “ABET: An effective emotion-topic method of biterms for emotion recognition from the short texts”, Journal of Ambient Intelligence and Humanized Computing, Springer, 2nd April 2022,Scopus, https://doi.org/10.1007/s12652-022-03799-9
93. K.K. Sahu, S.R. Sahu, G.R. Biswal, P.K. Sahu, H. S. Behera, Chemical reaction optimisation : a hybrid technique applied to functional link artificial neural networks with least mean square learning for foreign exchange rates forecasting, International Journal of Swarm Intelligence 2.2-4 (2016): 254-282. [InderScience] [Google Scholar, J-Gate]
94. JanmenjoyNayak, Bighnaraj Naik, D. P., Kanungo, H. S. Behera “A Hybrid Elicit Teaching Learning based Optimization with Fuzzy c-means (ETLBO-FCM) Algorithm for Data Clustering”, Ain Shams Engineering Journal, DOI: http://dx.doi.org/10.1016/j.asej.2016.01.010, 2016.[ELSEVIER, ScienceDirect][SCIE SCOPUS][IMPACT FACTOR: 3.180] [h-Index:46]
95. Monalisa Nayak, Soumya Das, Manas Ranjan Senapati, “Improving flood prediction using deep learning methods”, Journal of Institution of Engineers, Series B, Springer, 7th March 2022, online first, Scopus, EISSN:2250-2114https://doi.org/10.1007/s40031-022-00720-y
96. Bighnaraj Naik, Janmenjoy Nayak and H. S. Behera, “A TLBO based gradient descent learning-functional link higher order ANN: An efficient model for learning from non-linear data”, Journal of King Saud University - Computer and Information Sciences, ISSN: 1319-1578, 2016 [ELSEVIER, ScienceDirect] [SCIE, SCOPUS][IMPACT FACTOR:13.473][h-Index:33]
97. Abadhan Ranganath, Manas Ranjan Senapati, Pradip Kumar Sahu, “A novel pixel range calculation technique for texture classification”, Multimedia tools and Application, Springer, 7th March 2022, Online First, SCI https://doi.org/10.1007/s11042-022-12186-7
98. Monalisa Nayak, Soumya Das, Urmila Bhanja, Manas Ranjan Senapati (2022): “Predictive Analysis for Cancer and Diabetes Using Simplex Method Based Social Spider Optimization Algorithm”, IETE Journal of Research, 3rd February 2022, Online First, SCI, DOI: 10.1080/03772063.2022.2027276
99. Bighnaraj Naik, Janmenjoy Nayak and H. S. Behera, “A self adaptive harmony search based functional link higher order ANN for non-linear data classification”, Neurocomputing,2016. [ELSEVIER, ScienceDirect] [SCOPUS][IMPACT FACTOR: 5.719] [h-Index:143]
100. Monalisa Nayak, Soumya Das, Urmila Bhanja,Manas Ranjan Senapati, “Simplex Based Social Spider Optimization Method for Improving Medical Data Analysis”,Computer Science & Engineering: An International Journal (CSEIJ), Vol 12, No 1, February 2022, ISSN: 2231- 329X, https://doi:10.5121/cseij.2022.12111
101. P.K. Das, H. S. Behera, P. K. Jena, B.K. Panigrahi, “An Intelligent Multi-Robot Path Planning in a dynamic Algorithm”, International Journal of Automation and Computing, Springer, ISSN: 1476-8186 2016. [SCIE, SCOPUS][IMPACT FACTOR: 3.17] [h-Index:36]
102. S.C.Nayak, B.Misra, H. S. Behera “Fluctuation prediction of stock market index by adaptive evolutionary higher order neural networks”, International Journal of Swarm Intelligence, ISSN print: 2049-4041, Vol – 2, Issue – 2-4, pp – 229-253, 2016. [InderScience] [Google Scholar, J-Gate, ProQuest Advanced Technologies Database with Aerospace]
103. Abadhan Ranganath, Pradip Kumar Sahu, Manas Ranjan Senapati, “A novel approach for detection of coronavirus disease from computed tomography scan images using the pivot distribution count method”, Computer methods in biomechanics and biomedical engineering: Imaging and Visualization, Taylor and Francis, Online first, 29th October 2021, online ISSN: 2168-1171,Scopus https://doi.org/10.1080/21681163.2021.1998925
104. Anima Pradhan, Manas Ranjan Senapati, Pradip Kumar Sahu, “Improving sentiment analysis with learning concepts from concept, patterns lexicons and negations”, Ain Shams Engineering Journal, Elsevier Science, Vol 13, Issue-2, March 2022, ISSN: 2090-4479, SCI, https://doi.org/10.1016/j.asej.2021.08.004.
105. K.K.Sahu, S.R.Sahu, G.R.Biswal, P.K.Sahu, H. S. Behera “Chemical Reaction Optimization: A Hybrid technique applied to Functional Link Artificial Neural Networks with Least Mean Square Learning for Foreign Exchange Rates Forecasting”, International Journal of Swarm Intelligence, ISSN print: 2049-4041, 2016. [InderScience] [Google Scholar, J-Gate]
106. Monalisa Nayak, Soumya Das, Urmila Bhanja, Manas Ranjan Senapati, “Financial Time-Series Prediction with Feature Selection Using Simplex Method Based Social Spider Optimization Algorithm”, Indian Journal of Computer Science and Engineering, SCOPUS Indexed, Mar-Apr 2021, Vol. 12, Issue No.2,pp. 326- 347, ISSN: 0976-5166, https://doi.org/10.21817/indjcse/2021/v12i2/211202036
107. Kaushik Mishra, & Santosh Kumar Majhi. A State-of-Art on Cloud Load Balancing Algorithms. International Journal of Computing and Digital Systems, 9(2), 201-220, (2020). (Indexed in Scopus)
108. K.K.Sahu, S.R.Sahu, S.C.Nayak, H. S. Behera “Forecasting Foreign Exchange Rates Using CRO Based Different Variants of FLANN and Performance Analysis”, International Journal of Computational System Engineering,2016. [Inderscience] [SCIE, SCOPUS][IMPACT FACTOR: 1.838] [h-Index:21]
109. Rosy Pradhan, Santosh Kumar Majhi, and Jemarani Jaypuria. "An orthogonal moth flame optimization for global optimization and application to model order reduction problem." Journal of Intelligent & Fuzzy Systems, (2020) In Press: 1-13. (DOI: 0.3233/JIFS-179744) (Indexed in SCI, Scopus, IF: 1.637)
110. JanmenjoyNayak, BighnarajNaik, H. S. Behera “Solving nonlinear Classification Problems with Black Hole Optimization and Higher Order Jordan Pi-sigma Neural Network: A Novel Approach”, International Journal of Computational System Engineering, 2016. [Inderscience][ SCIE, SCOPUS][IMPACT FACTOR: 1.838] [h-Index:21]
111. Monalisa Nayak, Soumya Das, Urmila Bhanja, Manas Ranjan Senapati, “Cancer Diagnosis using Enhanced Whale Optimization Algorithm”,International Journal of Advanced Computational Engineering and Networking, Volume-8, Issue-2, Feb.-2020, ISSN(p): 2320-2106, ISSN(e):2321-2063, IJACEN-IRAJ-DOIONLNE-16926
112. "Enhancing Energy Efficiency in Sensor Cloud Through Time Series Forecasting of Sensor Data", Kalyan Das, Satyabrata Das & Monalisha Pattnaik, Instrumentation Mesure Metrologie, IIETA 2024, (Scopus),
     https://doi.org/10.18280/i2m.230102
113. Nibedan Panda, Santosh Kumar Majhi, Sarishma Singh, and Abhirup Khanna. "Oppositional spotted hyena optimizer with mutation operator for global optimization and application in training wavelet neural network." Journal of Intelligent & Fuzzy Systems. (2020) In press: 1-14. (DOI:0.3233/JIFS-179746 ) (Indexed in SCI, Scopus, IF: 1.637)
114. P.K., Das, H.S., Behera, S.K., Pradhan, H.K., Tripathy and P.K., Jena 2017. “Improved real time A*-fuzzy controller for improving multi-robot navigation and its performance analysis”. International Journal of Data Science, 2(2), pp.105-137. [Inderscience] [Google Scholar, J-Gate]
115. Monalisa Nayak, Soumya Das, Urmila Bhanja, Manas Ranjan Senapati, “Elephant Herding Optimization Technique based Neural Network for Cancer Prediction”, Informatics in Medicine Unlocked, Elsevier Science, 8th October 2020, ISSN: 2352-9148,https://doi.org/10.1016/j.imu.2020.100445
116. "Energy-Efficient Forecasting of Temperature Data in Sensor Cloud System Using a Hybrid SVM-ANN Method", Kalyan Das, Satyabrata Das & Sibarama Panigrahi , Wireless Personal Communications, 2023(Springer), (SCI), DOI: https://doi.org/10.1007/s11277-023-10265-y
117. Soumya Das, Sarojananda Mishra, Manas Ranjan Senapati, “Improving Time Series Forecasting using Elephant Herd Optimization with Feature Optimization Methods”, Journal of Management Analysis, Taylor & Francis, Online First, 06.10.2020, ISSN: 2327-0012, https://doi.org/10.1080/23270012.2020.1818321
118. SCI JOURNAL PUBLICATIONS
     S Panigrahi, SK Behera, PK Sethy (2021). Time Series Forecasting of Agricultural Products using Hybrid Methods. Applied Artificial Intelligence, Taylor Francis. https://doi.org/10.1080/08839514.2021.1981659 (SCI Indexed) (SCI Indexed)
119. Nibedan Panda & Santosh Kumar Majhi, "Improved spotted hyena optimizer with space transformational search for training pi-sigma higher order neural network". Computational Intelligence (Wiley Publication). 2020;1–31. https://doi.org/10.1111/coin.12272 (indexed in SCI, Scopus, IF: 0.776)
120. "Energy Competent Clustering Algorithm for Minimization of Holes in Heterogeneous Wireless Sensor Networks", Chinmaya Ku. Nayak & Satyabrata Das, Int. J. of System of Systems Engineering, (Scopus), Inderscience(2023),DOI: 10.1504/IJSSE.2024.10055955
121. S. R., Sahu, D.P., Kanungo, and H. S. Behera “A Modified Fruit Fly Optimization for Classification of Financial Distress using FLANN”, International Journal of Data Science (IJDS), 2, no. 2 (2017): 155-172. [Inderscience] [Google Scholar, J-Gate]
122. R Pradhan, S K Majhi, J K Pradhan, B B Pati, "Optimal fractional order PID controller design using Ant Lion Optimizer", Ain Shams Engineering Journal,2019, Elsevier Publication,DOI: https://doi.org/10.1016/j.asej.2019.10.005.(Indexed in SCIE, Scopus, IF: 3.091)
123. Bighnaraj Naik, JanmenjoyNayak and H. S. Behera, “An efficient FLANN Model with CRO based Gradient Descent Learning for Classification”, International Journal of Business Information Systems(IJBIS), Inderscience, Vol.21, No.1, pp.73 – 116, ISSN: 1746-0972, 2016.[Inderscience] [SCOPUS][IMPACT FACTOR: 0.95] [h-Index:26]
124. Sonali Dash, Manas Ranjan Senapati, Pradip Kumar Sahu,P. S. R. Chowdary, “Illuminationnormalized based technique for retinal bloodvessel segmentation”,International Journal of Imaging Systems and Technology, Wiley, 7th June 2020, ISSN‎: ‎1098-1098,https://doi.org/10.1002/ima.22461
125. PK Sethy*, SK Behera (2021). Categorization of Common Pigmented Skin Lesions (CPSL) using Multi-Deep Features and Support Vector Machine. Research Square: DOI: 10.21203/rs.3.rs-136988/v1. Journal of Digital Imaging, Springer (SCI Indexed) (Under Review)
126. "Energy-efficient cloud integrated sensor based on clustering and multihop transmission", Kalyan Das & Satyabrata Das, Science, Engineering and Health Studies(Scopus), Volume 16, 2022, ISSN (Online): 2630-0087, https://li01.tci-thaijo.org/index.php/sehs/article/view/247889
127. Santosh Kumar Majhi, Madhusmita Sahoo, Rosy Pradhan, "Oppositional Crow Search Algorithm with mutation operator for global optimization and application in designing FOPID controller", Evolving Systems - An Interdisciplinary Journal for Advanced Science and Technology (Springer), 2019. doi: https://doi.org/10.1007/s12530-019-09305-5. (Indexed in Scopus, ESCI)
128. D. P., Kanungo, Janmenjoy Nayak, B., Naik and H. S. Behera, “Hybrid Clustering using Elitist Teaching Learning based Optimization- An Improved Hybrid Approach of TLBO”, International Journal of Rough Sets and Data Analysis (IJRSDA), ISSN: 2334-4598,Vol. 3(1), pp. 1-19, 2016. [IGI-Global], [ACM Digital Library, Google Scholar]
129. AbadhanRanganath, Manas Ranjan Senapati, Pradip Kumar Sahu, “Estimating the fractal dimension of images using pixel range calculation technique”, The Visual Computer, 5th March 2020, ISSN: 0178-2789 https://doi.org/10.1007/s00371-020-01829-1
130. "Constrained-Based Power Management Algorithm for Green Cloud Computing", Sanjib Kumar Nayak, Sanjaya Kumar Panda & Satyabrata Das, International Journal of Computational Science and Engineering(Scopus), Inderscience, pp 657-667, https://doi.org/10.1504/IJCSE.2022.127187
131. PK Sethy*, SK Behera (2021). Automatic Classification with Concatenation of Deep and Handcrafted Features of Histological Images for Breast Carcinoma Diagnosis. Medical & Biological Engineering & Computing, Springer. (SCI Indexed) (Under Review)
132. Sreelekha Panda, Satyasis Mishra,Manas Ranjan Senapati, “Detection and Classification Methods for EEG Epileptic Seizures”, International Journal of Advanced Trends in Computer Science and Engineering, Vol-8, No-6, Nov-Dec 2019, ISSN:2278 -3091, https://doi.org/10.30534/ijatcse/2019/40862019
133. "A Multi-Objective Renewable Energy-Based Algorithm for Geographically Distributed Datacenters", Sanjib Kumar Nayak, Sanjaya Kumar Panda, Satyabrata Das, Sohan Kumar Pande, International Journal of Embedded Systems(Scopus), Inderscience, 2022, 15(2), pp. 119-131, https://doi.org/10.1504/IJES.2022.123304
134. PK Sethy*, SK Behera (2021). A Data Constrained Approach for Brain Tumour Detection using Fused Deep Features and SVM. Multimedia Tools and Applications, Springer. 10.1007/s11042-021-11098-2 (SCI Indexed)
135. Nibedan Panda & Santosh Ku Majhi, "Improved Salp Swarm Algorithm with Space Transformation Search for Training Neural Network", Arabian Journal for Science and Engineering, Springer, DOI: https://doi.org/10.1007/s13369-019-04132-x (Indexed in SCI, Scopus; IF: 1.518)
136. Janmenjoy Nayak, Bighnaraj Naik, and H. S. Behera. "A novel Chemical Reaction Optimization based higher order Neural Network (CRO-HONN) for nonlinear classification." Ain Shams Engineering Journal,Volume 6, Issue 3, September 2015, pp. 1069-1091, ISSN: 2090-4479, SNIP: 0.932, DOI:10.1016/j.asej.2014.12.013, 2015. [ELSEVIER, ScienceDirect] [ SCOPUS-SCIE][IMPACT FACTOR: 3.180] [h-Index:46]
137. S K Majhi, M Sahoo, R Pradhan, "A space transformational crow search algorithm for optimization problems", Evolutionary Intelligence, Springer, DOI: 10.1007/s12065-019-00294-7 (Indexed in Scopus)
138. "Smart Cloud Service Management Algorithm for Vehicular Clouds", Sohan Kumar Pande, Sanjaya Kumar Panda, Satyabrata Das.IEEE Transactions on Intelligent Transportation Systems, DOI: 10.1109/TITS.2020.3021075, https://ieeexplore.ieee.org/document/9210815
139. S. C., Nayak, B. B., Mishra, and H. S. Behera, “Artificial Chemical Reaction Optimization of Neural Networks for Efficient Prediction of Stock Market Index”, Ain Shams Engineering Journal, ISSN: 2090-4479, 2015, DOI:10.1016/j.asej.2014.12.013,2015. [ELSEVIER, ScienceDirect] [ SCOPUS-SCIE][IMPACT FACTOR: 3.180] [h-Index:46]
140. Sonali Dash, Manas Ranjan Senapati, “Noise Robust law’s filters based on fuzzy filters for texture classification”, Egyptian Informatics Journal, 15th October 2019, pp 37-49, ISSN: 1110-8665,https://doi.org/10.1016/j.eij.2019.10.003
141. SK Behera, AK Rath, PK Sethy* (2021). Fruits Yield Estimation using Faster R-CNN with MIoU. Multimedia Tools and Applications, Springer. https://doi.org/10.1007/s11042-021-10704-7 (SCI Indexed).
142. Santosh Kumar Majhi, Sk Sajeed Hossain, Trilok Padhi, "MFOFLANN: moth flame optimized functional link artificial neural network for prediction of earthquake magnitude" Evolving Systems (Springer). https://doi.org/10.1007/s12530-019-09293-6.
143. A resource Management Algorithm for Vertual Machine Migration in Vehicular Cloud Computing, Sohan Kumar Pande, Sanjaya Kumar Panda,Satyabrata Das. CMC-Computers, Materials & Continua,(SCI)2021, 67(2), pp. 2647-2663, doi:10.32604/cmc.2021.015026
144. BighnarajNaik, JanmenjoyNayak and H. S. Behera, “A Global-best Harmony Search based Gradient Descent Learning FLANN (GbHS-GDL-FLANN) for Data Classification”, Egyptian Informatics Journal, ISSN: 1110-8665, 2015. [ELSEVIER, ScienceDirect] [SCIE][IMPACT FACTOR: 3.943] [h-Index:34]
145. Sonali Dash, Manas Ranjan Senapati, “Enhancing detection of retinal blood vessels by combined approach of DWT, Tyler Coye and Gamma correction”, Biomedical Signal Processing and Control, Elsevier Science, 26th October 2019, vol-57, ISSN: 1746-8094,https://doi.org/10.1016/j.bspc.2019.101740
146. PK Sethy, C Pandey*, Dr. M.R. Khan, SK Behera, Vijaykumar K and S Panigrahi (2021). A Cost-Effective Computer-Vision Based Breast Cancer Diagnosis. Journal of Intelligent and Fuzzy Systems, IOS Press. DOI: 10.3233/JIFS-189848 (SCI Indexed).
147. Satyasis Mishra, PremanandaSahu, Manas Ranjan Senapati, “APSO based LLRBFNN model and enhanced fuzzy C means algorithm for brain tumor detection and classification from magnetic resonance image”, International Journal of Engineering and Technology, vol-8, issue-4, 2nd July 2019, pp- 490-499, ISSN: 2319-8613, https://dx.doi.org/10.14419 / ijet. v8i4.20445.
148. PK Sethy*, SK Behera, A Komma, C Pandey and M.R. khan (2020). Computer aid screening of COVID-19 using X-ray and CT scan images: An inner comparison. Journal of X-Ray Science and Technology. 1 Jan.2021: 1 – 14. DOI: 10.3233/XST-200784. (SCI Indexed)
149. Debasis Dwibedy and Rakesh Mohanty. A Note on Hardness of Multiprocessor Scheduling with Scheduling Solution Space Tree.(accepted) Computer Science, AGH, Poland, 2023.
150. Santosh Kumar Majhi, Fuzzy Clustering Algorithm based on Modified Whale Optimization Algorithm for Automobile Insurance Fraud Detection,Evolutionary Intelligence. Springer (2019). https://doi.org/10.1007/s12065-019-00260-3
151. "A Novel Energy-efficient Sensor Cloud Model using Data Prediction and Forecasting Techniques", Kalyan Das, Satyabrata Das & Aurobindo Mohapatra, Karbala International Journal of Modern Science(Scopus). Vol. 6 Issue 3 Article 5, https://kijoms.uokerbala.edu.iq/home/vol6/iss3/5
152. Janmenjoy Nayak, Bighnaraj Naik, and H. S. Behera. "A novel nature inspired firefly algorithm with higher order neural network: Performance analysis”, Engineering Science and Technology, an International Journal, ISSN: 2215-0986,2015 [ELSEVIER, ScienceDirect] [ SCOPUS-SCIE][IMPACT FACTOR: 4.36] [h-Index:50]
153. Santosh Kumar Majhi, Abhilash Mishra, Rosy Pradhan, "A chaotic salp swarm algorithm based on quadratic integrate and fire neural model for function optimization", Progress in Artificial Intelligence, Springer. (https://doi.org/10.1007/s13748-019-00184-0)
154. "A Novel Communication Framework Between MANET and WSN in IoT Based Smart Environment", Bata Krishna Tripathy, Swagat Ku. Jena, Vineeth Reddy, Satyabrata Das & Sanjaya Ku. Panda, International Journal of Information Technology(Springer)(Scopus),2021, 13(3), pp. 921-931 https://link.springer.com/article/10.1007/s41870-020-00520-x
155. P.K. Das, H. S. Behera, B.K. Panigrahi, “A hybridization of an Improved Particle Swarm optimization and Gravitational Search Algorithm for Multi-Robot Path Planning”, Swarm and Evolutionary Computation, ISSN: 2210-6502, 2015 [ELSEVIER, ScienceDirect] [SCI, SCOPUS][IMPACT FACTOR: 7.177][h-Index:65]
156. Satyasis Mishra, PremanandaSahu, Manas Ranjan Senapati, “MASCA–PSO based LLRBFNN model and improved fast and robustFCM algorithm for detection and classification of brain tumor from MRimage”, Evolutionary Intelligence, Springer, 20th July 2019, pp:- 1-17, ISSN: 1864-5909 , https://doi.org/10.1007/s12065-019-00266-x
157. PK Sethy, SK Behera*, N Kannan, S Narayanan, and C Pandey. “Smart Paddy Field Monitoring System Using Deep Learning and IoT.” Concurrent Engineering, (January 2021). https://doi.org/10.1177/1063293X21988944. (SCI Indexed)
158. Aradhana Behura, M. Srinivas, Manas Ranjan Kabat,”Giraffe kicking optimization algorithm provides efficient routing mechanism in the field of vehicular ad hoc networks” , Journal of Ambient Intelligence and Humanized Computing (2021) https://doi.org/10.1007/s12652-021-03519-9
159. Debasis Dwibedy and Rakesh Mohanty. Online scheduling with makespan minimization: State of the art results, research challenges and open problems. SIGACT News, ACM, USA, 53(2): 84-105, 2022. [SCI IF=1.75]
160. A. K. Mishra, S. Mohapatra, P. K Sahu, “Adaptive Tasmanian Devil Optimization algorithm based efficient task scheduling for big data application in a cloud computing environment,” Journal of Multimedia Tools Application, Springer, 2023. doi.org/10.1007/s11042-024-19887-1
161. A. Mishra, Santosh Kumar Majhi, "A comprehensive survey of recent developments in Neuronal Communication and Computational Neuroscience", Journal of Industrial Information Integration (2018), (Elsevier) doi: https://doi.org/10.1016/j.jii.2018.11.005
162. "Harris Hawks Jaya Algorithm-Based Routing Protocol in Delay Tolerant Network", Pradosh Kumar Gantayat & Satyabrata Das, International Journal of Business Data Communications and Networking(IJBDCN), igi-global 2021,(ESCI) (Scopus), Volume 17, Issue 1, Article 3, https://www.igi-global.com/article/harris-hawks-jaya-algorithm-based-routing-protocol-in-delay-tolerant-network/271378
163. P.K. Das, H. S. Behera, S. Das, H.K. Tripathy, B.K. Panigrahi, S.K. Pradhan, “A Hybrid Improved PSO-DV Algorithm for Multi-Robot Path Planning in a Clutter Environment”,Neurocomputing,2015. [ELSEVIER, ScienceDirect] [SCOPUS][IMPACT FACTOR: 5.719] [h-Index:143]
164. Soumya Das, Sarojananda Mishra, Manas Ranjan Senapati, “New Approaches in Metaheuristic to Classify Medical Data UsingArtificial Neural Network”,Arabian Journal of Science and Engineering, Springer, 10th July 2019, pp:-1-13, ISSN: 2193-567X, https://doi.org/10.1007/s13369-019-04026-y
165. Sharmila Subudhi, S. Panigrahi, “Detection of Automobile Insurance Fraud using Feature Selection and Data Mining Techniques”, International Journal of Rough Sets and Data Analysis (IJRSDA), IGI Global, ISSN: 2334-4598, EISSN: 2334-4601, vol. 5, no. 3, pp. 1 – 20, 2018 (UGC Care Listed).
166. SK Behera, PK Sethy, SK Sahoo, S Panigrahi, and SC Rajpoot. “On-Tree Fruit Monitoring System Using IoT and Image Analysis.” Concurrent Engineering, (February 2021). https://doi.org/10.1177/1063293X20988395. (SCI Indexed)
167. Tusharkanta Samal, Manas Ranjan Kabat, ”Energy-Efficient Time-Sharing Multichannel MAC Protocol for Wireless Body Area Networks”, Arabian Journal of Science and Engineering (2021). https://doi.org/10.1007/s13369-021-06073-w
168. Debasis Dwibedy and Rakesh Mohanty. Semi-online scheduling: A survey. Computers and Operation Research, Elsevier, UK, 139:105646, 2022. [SCI IF=5.159]
169. Binaya Kumar Panigrahi, Tushar Kumar Nath, Manas Ranjan Senapati, “An Application of Local Linear radial basis Function Neural Network for Flood Prediction”, Journal of Management Analysis, Taylor and Francis, 18th January 2019, vol-6, issue-1, pp:-67-87, ISSN: 2327-0012, https://doi.org/10.1080/23270012.2019.1566033
170. Sharmila Subudhi, S. Panigrahi, and T. K. Behera, “Detection of Mobile Phone Fraud Detection System Using Possibilistic Fuzzy C-Means Clustering and Hidden Markov Model”, International Journal of Synthetic Emotions (IJSE), IGI Global, vol. 7, no. 2, pp. 23-44, 2016, ISSN: 1947-9093, doi: 10.4018/IJSE.2016070102 (UGC Care Listed).
171. S Panigrahi, R M Pattanayak, PK Sethy, SK Behera (2020). Sunspot Time Series Forecasting using a Hybrid Ensemble of ARIMA, ETS and SVM. Solar Physics 296, 6 (2021). https://doi.org/10.1007/s11207-020-01757-2 (SCI Indexed)
172. Tusharkanta Samal, Manas Ranjan Kabat, „A prioritized traffic scheduling with load balancing in wireless body area networks” Journal of King Saud University – Computer and Information Sciences (2021) https://doi.org/10.1016/j.jksuci.2020.12.023 4.
173. Debasis Dwibedy and Rakesh Mohanty, New Competitive Semi-online Scheduling Algorithms for Small Number of Identical Machines. CoRR abs/2106.04629 (2021)
174. B. Neha, S. K. Panda, P. K. Sahu, K. S. Sahoo, and D. Taniar, “Energy and latency-balanced osmotic-offloading algorithm for healthcare systems,” Journal of Internet of Things, Elsevier, vol. 26, 2023. doi.org/10.1016/j.iot.2024.101176
175. S.K. Majhi, S. Biswal, Optimal cluster analysis using hybrid K-Means and Ant Lion Optimizer, Karbala International Journal of Modern Science (2018), Elsevier, https://doi.org/10.1016/j.kijoms.2018.09.001
176. Energy-Efficient Cloud integrated Sensor Network Model Based on Data Forecasting through ARIMA", Kalyan Das & Satyabrata Das, International Journal of e-Collaboration,igi-global 2021,(ESCI)(Scopus), Volume 18, Issue 1, Article 6, DOI: 10.4018/IJeC.290292
177. P.K. Das, H. S. Behera, B.K. Panigrahi, “Intelligent-based multi-robot path planning inspired by improved Classical Q-learning and improved particle swarm optimization with perturbed velocity”, Engineering Science and Technology, an International Journal, ISSN: 2215-0986,2015 [ELSEVIER, ScienceDirect] [SCIE, SCOPUS-SCIE][IMPACT FACTOR: 4.36] [h-Index:50]
178. Santosh Kumar Majhi, Subho Bhatachharya, Rosy Pradhan and Shubhra Biswal, “Fuzzy Clustering using Salp Swarm Algorithm for Automobile Insurance Fraud Detection”, Journal of Intelligent and Fuzzy Systems, IOS Press. (Accepted)
179. "Energy Efficient Routes protocols to Minimize Holes in Wireless Sensor Networks Using Probability Enhancement Algorithm", Chinmay Ku. Nayak & Satyabrata Das, International Journal of e-Collaboration (ESCI)(Scopus), Volume 17, Issue 4, Article2, DOI:10.4018/IJeC.2021100102
180. P.K. Das, H. S. Behera, B.K. Panigrahi, “Multi-Robot Path Planning in a dynamic environment using Improved Gravitational Search Algorithm”, Journal ofElectrical Systems and Information Technology, ISSN: 2314-7172,2015 [ELSEVIER, ScienceDirect]
181. Sonali Dash, Manas Ranjan Senapati, “Gray Level Run Length Matrix based on various illumination normalization techniques for texture classification”, Evolutionary Intelligence, Springer, 17th August 2018, pp-1-10, ISSN 1864-5909,https://doi.org/10.1007/s12065-018-0164-2
182. Sushree Bibhuprada B. Priyadarshini, S. Panigrahi, “A Distributed Scalar Controller Selection Scheme for Redundant Data Elimination in Sensor Networks”, International Journal of Knowledge Discovery in Bioinformatics (IJKDB), IGI Global, vol. 7, no. 1, pp. 91-104, 2017, ISSN: 1947-9115, EISSN: 1947-9123, doi: 10.4018/IJKDB (UGC Care Listed).
183. PK Sethy*, NK Barpanda, AK Rath, SK Behera (2020). Deep Feature Based Rice Leaf Disease Identification using Support Vector Machine. Computers and Electronics in Agriculture, Elsevier. https://doi.org/10.1016/j.compag.2020.105527. (SCI Indexed)
184. Bandita Sahu, Pradipta Kumar Das, Manas Ranjan Kabat, Raghvendra Kumar, „Multi-robot cooperation and performance analysis with particle swarm optimization variants”, Multimedia Tools and Applications (2021) https://doi.org/10.1007/s11042-021-10986-x
185. Debasis Dwibedy and Rakesh Mohanty. A 2-Competitive Largest Job on Least Loaded Machine Online Algorithm Based on the Multi List Scheduling Model. AISC, Springer, Vol. 1412, ICMC : 563-574, 2021.
186. A. K. Mishra, S. Mohapatra, P. K Sahu, “Coalition theory based task scheduling algorithm using DLFC-NN model,” Journal of Concurrency and Computation Practice and Experience, WILEY, vol. 36, Issue. 10, pp. 1-15, 2023. doi.org/10.1002/cpe.8005
187. S. Dash, P. K. Sahu, D. Mishra, “Forex market directional trends forecasting with Bidirectional-LSTM and enhanced DeepSense network using all member-based optimizer,” Journal of Intelligent Decision Technologies, vol. 17, Issue: 4, pp. 1351-1382, 2023. doi.org 10.3233/IDT-230183
188. Rosy Pradhan, Santosh Kumar Majhi, Bibhuti Bhusan Pati, “Design of Fractional Order PID Controller for Heat Flow System using Hybrid Particle Swarm Optimization and Gravitational Search Algorithm”, International Journal of Computational Intelligence Studies, Inderscience. (Accepted)
189. P. K Das, S. K Pradhan, H. K. Tripathy and P. K Jena, “ Improved real time A*-fuzzy controller for improving multi-robot navigation and its performance analysis” International Journal of Data Science, Inderscience, Vol. 2 no. 2, pp. 105-137, 2017.
190. S.Das, S.N.Mishra, M. R. Senapati, “A Novel Model for Stock Price Prediction using Hybrid Neural Network”, IEIB, Springer, Online first, DOI :10.1007/s40031-018-0343-7.
191. "Minimization of Energy Holes with Lively Bonding and the Division of Coverage", Chinmaya Ku. Nayak & Satyabrata Das, International Journal of e-Collaboration, igi-global 2021, (ESCI) (Scopus), Volume 18, Issue 2, Article 5, DOI: 10.4018/IJeC.304031
192. Bighnaraj Naik, Janmenjoy Nayak, H. S. Behera and A. Abraham, “An improved harmony search-based functional link higher order ANN for nonlinear data classification”, International Journal of Intelligent Systems Design and Computing, ISSN: 2052-8477, 2015 (In Press). [Inderscience][SCOPUS][IMPACT FACTOR: 0.78]
193. Brahma, Anitarani, S. Panigrahi, Neelamani Samal, and Debasis Gountia. "Rule-based database intrusion detection using coactive artificial neuro-fuzzy inference system and genetic algorithm." International Journal of Business Intelligence and Data Mining, Vol. 21, No. 1, pp. 85-101, 2022.
194. SK Behera, AK Rath, A Mahapatra, PK Sethy*(2020). Identification, classification & grading of fruits using machine learning & computer intelligence: a review. Journal of Ambient Intelligence and Humanized Computing. Springer. DOI: https://doi.org/10.1007/s12652-020-01865-8. (SCI Indexed)
195. Bandita Sahu, Pradipta Kumar Das, Manas Ranjan Kabat, Raghvendra Kumar, „Prevention of Covid-19 affected patient using multi robot cooperation and Q-learning approach: a solution”. Quality and Quantity (2021). https://doi.org/10.1007/s11135-021-01155-1
196. Sheetal Swain, Rakesh Mohanty, Debasis Dwibedy. New Results on Competitive Analysis of Online SRPT Scheduling. AISC, Springer, Vol. 1412, ICMC, 967-977, 2021.
197. PK Sethy*, NK Barpanda, AK Rath, SK Behera (2020). Nitrogen Deficiency Prediction of Rice Crop Based on Convolutional Neural Network. Journal of Ambient Intelligence and Humanized Computing. Springer. DOI: https://doi.org/10.1007/s12652-020-01938-8. (SCI Indexed)
198. Tusharkanta Samal, Sushree Chinmayee Patra, Manas Ranjan Kabat „An adaptive cuckoo search based algorithm for placement of relay nodes in wireless body area networks” Journal of King Saud University – Computer and Information Sciences,(2021) https://doi.org/10.1016/j.jksuci.2019.11.002
199. Debasis Dwibedy and Rakesh Mohanty. A New Fairness Model Based on Users Objective for Multi-user Multi-processor Online Scheduling Problem, Lecture Notes in Electrical Engineering (LNEE), Springer, ADCOM, 869, 453-465, 2020.
200. A. K. Mishra, S. Mohapatra, P. K Sahu,” Survey on Performance and Energy – Aware Task Scheduling over Big Data in Cloud Computing,” Journal of Neuroscience and Quantum Physics, NeuroQuantology, vol. 20, issue 22, pp. 393-433, 2022. doi.org 10.48047/nq.2022.20.22.NQ10030
201. Rosy Pradhan, Santosh Kumar Majhi, Bibhuti Bhusan Pati, (2018) "Design of PID controller for automatic voltage regulator system using Ant Lion Optimizer", World Journal of Engineering, Vol. 15 Issue: 3, pp.373-387.
202. MR Panda, P Das, S Pradhan, “ Hybridization of IWO and IPSO for mobile robots navigation in a dynamic environment”, Journal of King Saud University-Computer and Information Sciences, Elsevier, (in Press), 2017.
203. B. K. Panigrahi, S. Das, T. K. Nath, M. R. Senapati, “An Application of Data Mining Techniques for Flood Forecasting: Application in Rivers Daya and Bhargavi, India”, IEIB, Springer, Online first, DOI :10.1007/s40031-018-0333-9.
204. Pelusi, Danilo, Raffaele Mascella, Luca Tallini, Janmenjoy Nayak, Bighnaraj Naik, and Ajith Abraham. "Neural network and fuzzy system for the tuning of Gravitational Search Algorithm parameters." Expert Systems with Applications 102 (2018): 234-244. (Elsevier) (SCI)
205. Sanjaya Kumar Panda, Munmun Saha, and S. Panigrahi. "A Survey on Applications of Multi-Attribute Decision Making Algorithms in Cloud Computing." SPAST Abstracts, vol. 1, no. 1, published Sep 24, 2021, URL: https://spast.org/techrep/article/view/1165 (UGC Care Listed, Scopus).
206. "Energy Competent Hierarchical Routing Protocol for detecting and minimizing holes in wireless sensor networks", Chinmaya Ku. Nayak & Satyabrata Das, Journal of the ACM (Journal of the Association for Computing Machinery)(Scopus).Vol.xxx Slno.xxx 2020(Accepted)
207. S R Sahu and H. S. Behera “A hybrid CRO-based FLANN for financial stock market forecasting” International Journal of Data Analysis Techniques and Strategies, Inderscience (Scopus, ACM Digital Library, Google Scholar, Inspec ,Institution of Engineering and Technology), 2015. [SCOPUS][IMPACT FACTOR: 0.50] [h-Index:15]
208. Santosh Kumar Majhi, Shankho Subhra Pal, Grey wolf optimization trained feed foreword neural network for breast cancer classification, International Journal of Applied Industrial Engineering (IJAIE), 2018 (Accepted)
209. M.R. Panda, P. K Das and S. K Pradhan, “Optimal Path Planning for Mobile Robots Using Oppositional Invasive Weed Optimization” Journal of Computational Intelligence, Wiley, Vol.34. Issue 4, pp. 1072-1100
210. Sonali Dash, Manas Ranjan Senapati, Uma Ranjan Jena, “K-NN based automated reasoning using bilateral filter based texture descriptor for computing texture classification”, Egyptian Informatics Journal, Elsevier Science, https://doi.org/10.1016/j.eij.2018.01.003
211. Nayak, Janmenjoy, Bighnaraj Naik, Himansu Sekhar Behera, and Ajith Abraham. "Hybrid chemical reaction based metaheuristic with fuzzy c-means algorithm for optimal cluster analysis." Expert Systems with Applications 79 (2017): 282-295. (Elsevier) (SCI)
212. "Data Prediction and Forecasting Techniques Based Energy Efficient Cloud-integrated Sensor Network", Kalyan Das & Satyabrata Das, Science & Technology Asia(Scopus), Vol. 25 No 4 Article 7 2020,https://ph02.tci-thaijo.org/index.php/SciTechAsia
213. S. C., Nayak, B. B., Mishra, and H. S. Behera, “Exploration and Incorporation of Virtual Data Position for Efficient Forecasting of Financial Time Series”, International Journal of Industrial and Systems Engineering, ISSN: 1748-5037, 2015.[Inderscience] [SCOPUS][IMPACT FACTOR: 0.85] [h-Index:27]
214. NON-SCI JOURNAL PUBLICATIONS
     PK Sethy*,S K Behera, Chanki Pandey (2021). Speech Command Recognition based on Deep Image Classification. International Journal of Speech Technology. (Scopus, ESCI Indexed) (Revision Submitted)
215. Uttam Kumar Jena, Pradipta Kumar Das, Manas Ranjan Kabat, Hybridization of meta-heuristic algorithm for load balancing in cloud computing environment, Journal of King Saud University – Computer and Information Sciences(2020), https://doi.org/10.1016/j.jksuci.2020.01.012
216. Rakesh Mohanty, Debasis Dwibedy, Shreeya Swagatika Sahoo: New Competitive Analysis Results of Online List Scheduling Algorithm. CoRR abs/2001.00004 (2020)
217. S. Dash, P. K. Sahu, D. Mishra, P. K. Mallick, B. Sharma, M. Zymbler, and S. Kumar, “A Novel Algorithmic Forex Trade and Trend Analysis Framework Based on Deep Predictive Coding Network Optimized with Reptile Search Algorithm,” Axioms, MDPI, vol. 11, issue 8, pp. 1-27, 2022. doi.org 10.3390/axioms11080396
218. A. Pradhan, M. R. Senapati, and P. K. Sahu, “A multichannel embedding and arithmetic optimized stacked Bi-GRU model with semantic attention to detect emotion over text data,” Journal Applied Intelligence, Springer, vol. 52, issue 9, pp. 1-18, 2022. doi.org 10.1007/s10489-022-03907-4
219. Nayak, Janmenjoy, Bighnaraj Naik, H. S. Behera, and Ajith Abraham. "Elitist teaching–learning-based optimization (ETLBO) with higher-order Jordan Pi-sigma neural network: a comparative performance analysis." Neural Computing and Applications: 1-24. (Springer) (SCI)
220. Santosh Kumar Majhi, An Efficient Feed Foreword Network Model with Sine Cosine Algorithm for Breast Cancer Classification, International Journal of System Dynamics Applications, Vol 7(2) pp 1-14, 2018.
221. P. K. Das, Behera, H. S. Behera, and B. K. Panigrahi, “A hybridization of an improved particle swarm optimization and gravitational search algorithm for multi-robot path planning”. Swarm and Evolutionary Computation, Elsevier Vol- 28, pp. 14-28, 2016.
222. Sonali Dash, Uma Ranjan Jena, Manas Ranjan Senapati, “Homomorphic Normalization-Based Descriptors for Texture Classification”, Arab J Sci Eng, Springer, pp. 1-11, (2017), doi.org/10.1007/s13369-017-2961-9
223. Sharmila Subudhi, S. Panigrahi, ‘A Hybrid Mobile Call Fraud Detection Model using Optimized Fuzzy C-Means Clustering and Group Method of Data Handling-based Network’, Vietnam Journal of Computer Science, Springer, pp. 1-13, 2018, ISSN: 2196-8888 (print version), ISSN: 2196-8896 (electronic version), DOI: 10.1007/s40595-018-0116-x (UGC Care Listed).
224. "An Adaptive Secure and Efficient Routing Protocol for Mobile Ad Hoc Networks", Bata Krishna Tripathy, Swagat Kumar Jena, Padma Lochan Bera & Satyabrata Das, Wireless Personal Communications,(SCI), DOI: https://doi.org/10.1007/s11277-020-07423-x
225. H. S. Behera, Janmenjoy Nayak, M., Nanda and K., Nayak, “A Novel Hybrid Approach for Real World Data Clustering Algorithm based on Fuzzy C-means and Firefly Algorithm (FCM-FA)”, International Journal of Fuzzy Computation and Modelling, ISSN : 2052-353X, Vol. 1(4), pp. 431-448, 2015. [Inderscience] [Google Scholar, J-Gate]
226. SK Behera, AK Rath, and PK Sethy*(2020). Fruit Recognition using Support Vector Machine based on Deep Features. Karbala International Journal of Modern Science; 6(2): 234-245. https://doi.org/10.33640/2405-609X.1675. (Scopus Indexed)
227. Degal Chandrasekhar Rao, Manas Ranjan Kabat, Pradipta Kumar Das, Prabir Kumar Jena Hybrid IWD-DE: a novel approach to model cooperative navigation planning for multi-robot in unknown dynamic environment, Journal of Bionic Engineering 16(2), 2019, pp235-252.
228. Baisakh and Rakesh Mohanty, A Novel Move-To-Front-or-Logarithmic Position (MFLP) Online List Update Algorithm. CoRR abs/2010.13042 (2020),
229. SK Behera, AK Rath, and PK Sethy*(2020). Maturity Status Classification of Papaya Fruits based on Machine Learning and Transfer Learning Approach. Information Processing in Agriculture, Elsevier. https://doi.org/10.1016/j.inpa.2020.05.003 (Scopus Indexed)
230. Satya Prakash Sahoo, Manas Ranjan Kabat, „Multi-Constrained Multicast Routing Improved By Hybrid Bacteria Foraging/Particle Swarm Optimization” Computer Science 20(2) 2019: pp245–270
231. Baisakh and Rakesh Mohanty, Competitive Analysis of Move-to-Front-or-Middle (MFM) Online List Update Algorithm. CoRR abs/2010.14752 (2020)
232. Naik, Bighnaraj, Janmenjoy Nayak, Himansu Sekhar Behera, and Ajith Abraham. "A self adaptive harmony search based functional link higher order ANN for non-linear data classification." Neurocomputing 179 (2016): 69-87. (Elsevier) (SCI)
233. A. Pradhan, M. R. Senapati, and P. K. Sahu, “ABET: an afective emotion topic method of biterms for emotion recognition from the short texts,” Journal of Ambient Intelligence and Humanized Computing, Springer, vol. 13, issue 4, pp. 1-13, 2022. doi.org/10.1007/s12652-022-03799-9
234. Rosy Pradhan, Santosh Kumar Majhi, Jatin Ku Pradhan, Bibhuti Bhusan Pati, Antlion Optimizer tuned PID controller based on Bode Ideal Transfer Function for Automobile Cruise Control System, Journal of Industrial Information Integration (Elsevier), 2018.
235. P. K Das, H.S Behera, S. Das, H.K. Tripathy, B. K Panigrahi and S. K Pradhan, “A hybrid improved PSO-DV algorithm for multi-robot path planning in a clutter environment”, Neurocomputing, Elsevier Vol-207, pp. 735-753, 2016.
236. A.Patra, S.Das, S.N.Mishra, M.R.Senapati, “A adaptive local linear optimized radial basis functional neural network model for financial time series prediction”, Neural Computing and Application, Springer, January 2017, Volume 28, Issue 1, pp 101–110,DOI: DOI 10.1007/s00521-015-2039-0
237. Sushree Bibhuprada B. Priyadarshini, S. Panigrahi, “Redundant Data Minimization Using Hexagonal Scalar Premier Neighbourhood for Optimum Camera Actuation Scheme”, The Journal of Engineering (JoE), IET, pp. 1-11, 2016, Online ISSN 2051-3305, doi: 10.1049/joe.2016.0011 (UGC Care Listed, Emerging SCI (ESCI)).
238. "Dynamic service migration and resource management for vehicular clouds", Sohan Ku. Pandey, Sanjaya Ku. Panda & Satyabrata Das, Journal of Ambient Intelligence and Humanized Computing, (SCI), DOI:10.1007/s12652-020-02166-w
239. H. S. Behera, M Nanda, K Nayak, Janmenjoy Nayak, “A Hybrid Fuzzy Firefly based Evolutionary Radial Basis Functional Network for Classification “, International Journal of Information Processing, Vol. 9 (3), pp. 76-91, 2015, ISSN: 0973–8215. [Google Scholar, arXiv, Indian Citation Index, getCITED]
240. R. Pradhan, S. K. Majhi, J. Pradhan, and B. Pati, " Performance Evaluation of PID Controller for an Automobile Cruise Control System using Ant Lion Optimizer," Engineering Journal, vol. 21, no. 5, pp. 347-361, 2017. doi:10.4186/ej.2017.21.5.347
241. P. K Das, H. S Behera and B. K Panigrahi, “ Intelligent-based multi-robot path planning inspired by improved classical Q-learning and improved particle swarm optimization with perturbed velocity ” Engineering Science and Technology, an International Journal, Elsevier, Vol.- 19, no-1, pp. 651-669,2016
242. S.Swain, S.Prasad, M.R.Senapati, “A Review of Big data and its current research direction”, International Journal of Engineering, Science and Mathematics, December-2017, Vol-6, Issue-8, ISSN: 2320-0294.
243. Anitarani Brahma, S. Panigrahi, “A New Approach to Intrusion Detection in Databases by using Artificial Neuro Fuzzy Inference System”, International Journal of Reasoning-based Intelligent Systems, Inderscience Publishers, vol. 7, nos. 3/4, pp. 254-260, 2015, ISSN online: 1755-0564, ISSN print: 1755-0556, doi: 10.1504/IJRIS.2015.072952 (UGC Care Listed, Scopus).
244. "Energy efficient sensor series with irregular communication interval in wireless sensor networks to minimize holes", Chinmaya Kumar Nayak & Satyabrata Das, International Journal of Advanced Science and Technology, (Scopus) Vol. 29 ,No. 4s,PP.1962-1967(2020),(Scopus), http://sersc.org/journals/index.php/IJAST/article/view/7014
245. S. C., Nayak, B. B., Mishra, and H. S. Behera, “An adaptive second order neural network with genetic algorithm based training (ASONN-GA) to forecast the closing prices of the stock market”, International Journal of Applied Metaheuristic Computing, 2015.[IGI Global] [ACM Digital Library, DBLP, INSPEC, Google Scholar] [IMPACT FACTOR: 0.6607] [h-Index:4]
246. Nayak, Janmenjoy, and Bighnaraj Naik. "A Novel Honey-Bees Mating Optimization Approach with Higher order Neural Network for Classification." Journal of Classification (2018): 1-38. (SCI)
247. PK Sethy*, SK Behera, PK Ratha, P Biswas (2020). Detection of coronavirus (COVID-19) based on Deep Features and Support Vector Machine. International Journal of Mathematics, Engineering and Management Science; 5(4):643-651. DOI: https://doi.org/10.33889/IJMEMS.2020.5.4.052 (Scopus Indexed)
248. Satya Prakash Sahoo, Manas Ranjan Kabat, A Reference-Based Multiobjective Bacteria Foraging Optimization Technique for QoS Multicast Routing, Arabian Journal of Science and Engineering, Vol 43, Issue 12, 2018, pp7457-7472.
249. Debasis Dwibedy, Rakesh Mohanty and Arun Kumar Khamari. Online Rainbow Coloring In Graphs. CoRR abs/1912.12409 (2019)
250. A. Ranganath, P. K. Sahu, and M. R. Senapati, “A novel pixel range calculation technique for texture classification,” Multimedia Tools Application, Springer, vol 81, issue 13, pp. 17639-17667, 2022. doi.org/10.1007/s11042-022-12186-7
251. B. Neha, S. K. Panda, P. K. Sahu, K. S. Sahoo, and A. H. Gandomi, “A Systematic Review on Osmotic Computing,” ACM Transaction on Internet of Things, ACM, vol. 3, issue 2, pp. 1-30, 2022. doi.org/10.1145/3488247
252. Nayak, Janmenjoy, Bighnaraj Naik, D. P. Kanungo, and H. S. Behera. "A hybrid elicit teaching learning based optimization with fuzzy c-means (ETLBO-FCM) algorithm for data clustering." Ain Shams Engineering Journal (2016). (Elsevier)
253. S K Majhi and S K Dhal. "Formal Analysis of Virtual Machine Migration and Identification of Faults." IJKBO 8.1 (2018): 16-28. doi:10.4018/IJKBO.2018010102
254. P. K Das, H. S Behera, P. K Jena and B. K Panigrahi, “ Multi-robot path planning in a dynamic environment using improved gravitational search algorithm”, Journal of Electrical Systems and Information Technology, Elsevier Vol. 3, no-2, pp. 295-313, 2016.
255. Tapaswini Nayak, S.Prasad, M.R.Senapati, “Hybrid soft computing approach for hydro power energy prophecy”, International Journal of Engineering Research and Technology, Vol-9, No-2, pp 121-134, ISSN: ISSN: 2278-0181
256. Sharmila Subudhi, S. Panigrahi, “Use of Fuzzy Clustering and Support Vector Machine for Detecting Fraud in Mobile Telecommunication Networks”, International Journal of Security and Networks (IJSN), Inderscience Publishers, vol. 11, no. 1-2, pp. 3-11, 2016, ISSN online: 1747-8413, ISSN print: 1747-8405, doi: 10.1504/IJSN.2016.075069 (UGC Care Listed, Scopus).
257. "Distribution of sensor nodes for detection of energy holes using local sensor distribution algorithm in wireless sensor networks", Chinmaya Kumar Nayak & Satyabrata Das, Test Engineering and Management,(Scopus) Vol. 82(Jan/Feb 2020): 6177-6182 (Scopus), http://testmagzine.biz/index.php/testmagzine/article/view/1813
258. S. C., Nayak, B. B., Mishra, and H. S., Behera, “A neuro-fuzzy hybrid network for stock future index forecasting”,International Journal of Computer Science and Technology, Vol. 5, pp. 95-100,2014. [DOAJ. Google Scholar]
259. PK Sethy*, NK Barpanda, AK Rath, SK Behera (2020). Image Processing Techniques for Diagnosing Rice Plant Disease: A Survey. Procedia Computer Science, Elsevier; 167:516-530. DOI: https://doi.org/10.1016/j.procs.2020.03.308 (Scopus Indexed).
260. Degal Chandrasekhar Rao, Manas Ranjan Kabat, Pradipta Kumar Das, Prabir Kumar Jena „Cooperative navigation planning of multiple mobile robots using improved krill herd”, Arabian Journal for Science and Engineering 43 (12),2018, 7869-7891.
261. Rakesh Mohanty and Kumar Rakesh Singh, New Results on Competitive Analysis of Move To Middle(MTM) List Update Algorithm using Doubly Linked List, Procedia Computer Science, Elsevier, Vol 125, 762-769, 2018
262. PK Sethy*, NK Barpanda, AK Rath, SK Behera (2020). Rice False Smut Detection based on Faster R-CNN. Indonesian Journal of Electrical Engineering and Computer Science;9(3). DOI: http://doi.org/10.11591/ijeecs.v19.i3.pp%25p (Scopus Indexed).
263. Rakesh Ranjan Swain, Sonali Mishra, Tusharkanta Samal, Manas Ranjan Kabat, An energy efficient advertisement based multichannel distributed MAC protocol for wireless sensor networks (Adv-MMAC)”, Wireless Personal Communications 95 (2), 2017,pp.655-682.
264. Rakesh Mohanty and Sudhansu Bala Das. A Proposed What-Why-How (WWH) Learning Model for Students and Strengthening Learning Skills Through Computational Thinking, AISC, Springer, Vol. 719, 135-141, 2017.
265. Naik, Bighnaraj, Janmenjoy Nayak, and H. S. Behera. "A TLBO based gradient descent learning-functional link higher order ANN: An efficient model for learning from non-linear data." Journal of King Saud University-Computer and Information Sciences, Volume 30, Issue 1, Pages 120-139 (January 2018). (Elsevier)
266. A. Ranganath, P. K. Sahu, and M. R. Senapati, “A novel approach for detection of coronavirus disease from computed tomography scan images using the pivot distribution count method,” Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Taylor & Francis, vol. 9, issue 5, pp. 1-12, 2021. doi.org/10.1080/21681163.2021.1998925
267. S. K. Majhi, S. S. Pal, Bhuyan, S., & Dhal, S. K. (2018). Queuing Analysis of Cloud Load Balancing Algorithms. International Journal of Knowledge-Based Organizations (IJKBO), 8(1), 50-67. doi:10.4018/IJKBO.2018010104
268. D. C. Rao, M. R. Kabat, P. K. Das, Jena, P. K. Jena,“Cooperative Navigation Planning of Multiple Mobile Robots Using Improved Krill Herd.” Arabian Journal for Science and Engineering, Springer,Vol.43, pp. 7869-7891, 2018.
269. Tapaswini Nayak, M.R.Senapati, S.Prasad “A Survey on Web text Information Retrieval in Text”, “Research Journal of Applied Sciences, Engineering and Technology”, Maxwell Publication, ISSN: 2040- 7467, Vol 10, Issue 10, pp: 1164-1174, 05 August 2015.
270. Sharmila Subudhi, S. Panigrahi, “Two-stage Automobile Insurance Fraud Detection by Using Optimized Fuzzy C-Means Clustering and Supervised Learning”, International Journal of Information Security and Privacy (IJISP), IGI Global, 2018, ISSN: 1930-1650,|EISSN: 1930-1669, DOI: 10.4018/IJISP (Accepted) (Scopus, Web of Science Emerging SCI (ESCI).
271. "A New Mobility Control Approach for Improved Route Availability in Mobile Ad hoc Networks", Bata Krishna Tripathy, Swagat Kumar Jena, Padma Lochan Bera & Satyabrata Das, Arabian Journal for Science and Engineering,(SCI), https://link.springer.com/article/10.1007/s13369-019-03899-3,DOI:https://doi.org/10.1007/s13369-019-03899-3
272. Janmenjoy Nayak, Bighnaraj Naik and H. S. Behera."A Comprehensive Survey on Support Vector Machine in Data Mining Tasks: Applications & Challenges." International Journal of Database Theory and Application, Vol. 8(1), pp. 169-186, 2014.[Google Scholar, ULRICH][IMPACT FACTOR: 0.242] [h-Index:4]
273. P.K Das, A. Mohapatra, and M.R Panda, “ Epilepsy disorder detection from EEG signal” International journal of Intelligent Computing and Applied Sciences Vol. 1, no. 1, pp. 41-49, 2013.
274. S.Das, S.Prasad, S.Mishra, M.R.Senapati “A Harmony Search based Artificial Neural Network for Stock Market Prediction”, International Journal of Business Forecasting and Marketing Intelligence, InderScience, 2015, Vol-2, No-1, pp. 19-36 ISSN: 1744-6635, doi.org/10.1504/IJBFMI.2015.075358
275. Anitarani Brahma, S. Panigrahi, “Role Based Profiling using Fuzzy Adaptive Resonance Theory for Securing Database Systems”, International Journal of Applied Metaheuristic Computing (IJAMC), IGI Global, vol. 12, no. 2, pp. 36-48, 2021 (Scopus, Web of Science Emerging SCI (ESCI).
276. "Award-Reward Protocol Based on Clustering and Trust Level for Routing in Delay Tolerant Network", Pradosh Kumar Gantayat & Satyabrata Das, Journal of Applied Security Research (Taylor & Francis 2019) Volume14, issue3, page270-287(Scopus), https://doi.org/10.1080/19361610.2019.1621593
277. S. C., Nayak, B. B., Mishra, and H. S., Behera, “Soft and Evolutionary Computing Techniques for Stock Market Forecasting: A Survey”, European Journal of Academic Essays, Vol. 2,2014.[Google Scholar]
278. S. Majhi, S. K. Shal, S. S. Pasumarthi, “A Study On Economy And Statergy For Cloud Computing Adoptation”, IJRD- Management Review, 5(1): 39-49 (2016).
279. Naik, Bighnaraj, Janmenjoy Nayak, and Himansu Sekhar Behera. "A global-best harmony search based gradient descent learning FLANN (GbHS-GDL-FLANN) for data classification." Egyptian Informatics Journal 17, no. 1 (2016): 57-87. (Elsevier)
280. SK Behera, A Mahapatra, AK Rath, PK Sethy* (2019). Classification & Grading of Tomatoes using Image Processing Techniques. International Journal of Innovative Technology and Exploring Engineering;8(6s):545-550. (Scopus Indexed)
281. Prabhudutta Mohanty,Manas Ranjan Kabat, Energy efficient structure-free data aggregation and delivery in WSN, Egyptian Informatics Journal, 17 (3),2016, pp 273-284
282. Rakesh Mohanty and Pankhuri Kiran, New results on next fit and first fit on-line algorithms for square and rectangle packing. IEEE Xplore, ICACCI 2017: 2201-2207.
283. A. Pradhan, M. R. Senapati, and P. K. Sahu, “Improving sentiment analysis with learning concepts from concept, patterns lexicons and negations,” Ain Shams Engineering Journal, Elsevier, vol. 13, issue 2, pp. 1-13, 2021. doi.org/10.1016/j.asej.2021.08.004
284. B.Senapati, S.Kisan, S.P. Biswal and A. Pattanaik, “ Gray Medical Image Compression Using Fractal Concepts”, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2018 IJSRCSEIT Volume 3 Issue 3 ISSN : 2456-3307
285. B. Neha, S. K. Panda, and P. K. Sahu, “An efficient task mapping algorithm for osmotic computing-based ecosystem,” International Journal of Information Technology, Springer, vol. 13, issue 3, pp. 1-6, 2021. doi.org/10.1007/s41870-021-00715-w
286. S.Kisan, S.N. Mishra and S. Mishra, “ A Survey on Applications of Fractal Dimension upon Various Image Processing Applications”, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 5, Issue 9, September 2016, ISSN (Online) 2278-1021 ISSN (Print) 2319 5940, pp 44-47
287. S. Majhi and S. K. Dhal . “Smart Placement of Security Devices in Cloud Data Center Network”. Smart Computing Review, 5(4): 408-416 (2015).
288. S.Das, A.Patra, S.N.Mishra, M.R.Senapati, “A self-adaptive fuzzy based optimized functional link artificial neural network model for financial time series prediction”, International Journal of Business Forecasting and Marketing Intelligence, Inderscience, Vol-2, No-1, pp.55-77, ISSN: 1744-6635, https://doi.org/10.1504/IJBFMI.2015.075323
289. Nayak, Janmenjoy, Bighnaraj Naik, and H. S. Behera. "A novel nature inspired firefly algorithm with higher order neural network: performance analysis." Engineering Science and Technology, an International Journal 19, no. 1 (2016): 197-211. (Elsevier)
290. P. K Das, S. C Mandhata, C. N Panda and S.N. Patro, “ Vision based object tracking by mobile robot”, International Journal of Computer Applications Vol. 45, no. 8, pp. 40-42, 2012.
291. D. Kar, S. Panigrahi and S. Sundararajan, “SQLiDDS: SQL Injection Detection using Document Similarity Measure”, Journal of Computer Security, IOS Press, pp. 1-33, ISSN print 0926-227X, ISSN online 1875-8924, doi: 10.3233/JCS-160554, 2016 (Scopus, Web of Science: Emerging SCI (ESCI)).
292. "Minimization of Energy Hole in Under Water Sensor Networks"(UWSNs)&(180717-115405), Niva Tripathy & Satyabrata Das, International Journal of Natural Computing Research (IJNCR) igi-global 2019, Vol 8 Issue 4, Article 1, https://www.igi-global.com/article/minimization-of-energy-hole-in-under-water-sensor-networks-uwsns/237980,DOI:10.4018/IJNCR.2019100101
293. S.C.Nayak, B.B.Mishra and H. S. Behera, “Impact of Data Normalization on Stock Index Forecasting”, International Journal of Computer Information Systems and Industrial Management Applications, ISSN 2150-7988, Vol 6, pp. 257 – 269, 2014.[SCI, SCOPUS][IMPACT FACTOR: 0.33] [h-index:6]
294. SK Behera*, A Pattnaik, AK Rath, NK Barpanda, PK Sethy (2019). Yield Estimation of Pomegranate Using Image Processing Techniques. International Journal of Innovative Technology and Exploring Engineering;8(6S):798-803. (Scopus Indexed)
295. Prabhudutta Mohanty,Manas Ranjan Kabat, Energy efficient reliable multi-path data transmission in WSN for healthcare application, International journal of wireless Information Networks, 23 (2),2016,162-172.
296. Mitali Sinha, Suchsimita Pattanaik, Rakesh Mohanty, Prachi Puravi Tripathy, Experimental Studies of a novel variant of Fidducia-Mattheyses (FM) Partitioning Algorithm, In proceedings of the International Conference on Advances in Computing, Communications and Informatics (ICACCI), IEEE Xplore, 2016.
297. SK Behera*, AK Rath, PK Sethy (2019). Automatic Fruits Identification and Disease Analysis using Machine Learning Techniques. International Journal of Innovative Technology and Exploring Engineering;8(6S2):103-107. (Scopus Indexed)
298. Rakesh Mohanty, Tirtharaj Dash, Biswadeep Khan and Shiba Parasad Dash, An Experimental Study of a Move-To-Front-or-Middle (MFM) List Update Algorithm, Lecture Notes in Computer Science (LNCS), Springer, Verlag, 187-197, 2014. ( acceptance rate : 19%).
299. P. Mohanty, M.R.Kabat “A Hierarchical Energy Efficient Reliable Transport Protocol for Wireless Sensor Networks” Ain Shams Engineering journal, vol 5(4), pp1141-1155, 2014.
300. Rudra Kalyan Nayaka, Debahuti Mishra, Amiya Kumar Rath . "A Naïve SVM-KNN based stock market trend reversal analysis for Indian benchmark indices", ScienceDirect, Applied Soft Computing,ELSEVIER, Volume 35, October 2015, Pages 670–680.
301. S. Majhi and S. K. Dhal . “A Security State Transfer Model for Virtual Machine Migration in Cloud Infrastructure”. International Journal of Computer Applications 127(4):10-14, October 2015. Published by Foundation of Computer Science (FCS), NY, USA.
302. Mishra, S.P. , Prasad, S. , Senapati, M.R., “A comparative analysis on java code coverage tools in software testing”,International Journal of Applied Engineering Research, Vol-10 Issue 13, pp. 33499-33503, 24 August 2015.
303. Nayak, Janmenjoy, Bighnaraj Naik, and H. S. Behera. "A novel chemical reaction optimization based higher order neural network (CRO-HONN) for nonlinear classification." Ain Shams Engineering Journal 6, no. 3 (2015): 1069-1091. (Elsevier)
304. S. Pattnaik and P. K. Sahu, “Adaptive Neuro-Fuzzy Inference System-Particle swarm optimization-based clustering approach and hybrid Moth-flame cuttlefish optimization algorithm for efficient routing in wireless sensor network,” International Journal of Communication Systems, Wiley, vol. 34, issue 9, pp. 1-28, 2021. doi.org/10.1002/dac.4783
305. C. Panda, S.N. Patro, P. K. Das and P. K. Gantayat, “ Node reliability in WDM optical network” International Journal of Computer Science Issues, Vol. 9, no. 2, pp. 315-320, 2012.
306. Sushree Bibhuprada B. Priyadarshini, S. Panigrahi, “A Centralized cum Sub-Centralized Scheme for Multi-Event Coverage and Optimum Camera Activation in Wireless Multimedia Sensor Networks”, Special Issue on Creating a Smarter Environment through Advancement of Communication Systems, Networks and Applications, IET Networks, IET, vol. 4, no. 6, pp. 314–328, 2015, Online ISSN 2047-4962. Print ISSN 2047-4954, doi: 10.1049/iet-net.2015.0017 (Emerging SCI, Scopus, Source Normalized Impact per Paper (SNIP) = 0.987).
307. "Minimization of Energy-Holes in Wireless Sensor Network (WSN) Using Hierarchical Routing Protocols", Chinmaya Kumar Nayak & Satyabrata Das, J. Comput. Theor. Nanosci.(Scopus) Vol 16, Number 5-6,PP.2357-2361 (2019),https://www.ingentaconnect.com/content/asp/jctn/2019/00000016/f0020005/art00101,DOI: 10.1166/jctn.2019.7899
308. K.K.Sahu, SibaramaPanigrahi and H. S. Behera, “A novel Chemical Reaction Optimization Algorithm for Higher Order Neural Network Training”, Journal of Theoretical and Applied Information Technology, E-ISSN 1817-3195 / ISSN 1992-8645, IF: 1.71, Vol. 53, issue 3, July 2013, pp 402-409.[ELSEVIER, ScienceDirect] [ SCOPUS][IMPACT FACTOR: 0.60] [h-Index:29]
309. P Kumar Das, S.N Patro, C. N Panda, B. Balabantaray, “ D* lite algorithm based path planning of mobile robot in static Environment”, International Journal of Computer & Communication Technology, Vol. 2, IssueVI, 2011.
310. Sushree Bibhuprada B. Priyadarshini, S. Panigrahi, “A Novel Approach Using Optimum Camera Actuation in Event Boundary Detection Method for Redundant Data Minimization”, Ain Shams Engineering Journal, Elsevier, 2016, ISSN: 2090-4479, doi:10.1016/j.asej.2016.04.013 (Scopus, SCI Expanded (SCI-E), IF=3.18).
311. "Secure Trust Level Routing in Delay Tolerant Network with Fuzzy Empowered Node Categorization Technique", Pradosh Kumar Gantayat & Satyabrata Das, J. Comput. Theor. Nanosci. (Scopus) 16, 2294-2298 (2019)https://www.ingentaconnect.com/content/asp/jctn/2019/00000016/f0020005/art00089,DOI:https://doi.org/10.1166/jctn.2019.7887
312. JosabantaKarali, SibaramaPanigrahi and H. S. Behera, “A Novel Differential Evolution Based Algorithm for Higher Order Neural Network Training”, Journal of Theoretical and Applied Information Technology E-ISSN 1817-3195 / ISSN 1992-8645, Vol. 56, Issue No. 2, pp 355-361, Oct 2013.[ELSEVIER, ScienceDirect] [ SCOPUS][IMPACT FACTOR: 0.60] [h-Index:29]
313. S.P.Sahoo, M.R.Kabat “Adaptive Tabu Search based Core Selection Algorithm in Heterogeneous Network” International Journal on Swarm Intelligence Vol.1, No.3, pp.209 – 225, 2014.
314. Nihar Ranjan Nayak, Bikram Keshari Mishra, Amiya Kumar Rath and Sagarika Swain, “IMPROVING THE EFFICIENCY OF COLOR IMAGE SEGMENTATION CLUSTERING USING AN ENHANCED CLUSTERING METHODOLOGY”,International Journal of Applied Evolutionary Computation, 6(2), 50-62, April-June 2015,DOI: 10.4018/IJAEC.2015040104.
315. S. Majhi, S. K. Srichandan and S. K. Dhal. “An Algorithm for VM migration: Analysis & Implementation”. Communications on Applied Electronics 3(4), 2015. Published by Foundation of Computer Science (FCS), NY, USA.
316. M. R. Senapati, G.Panda, P. K. Dash, “Hybrid Approach using KPSO and RLS for RBFNN design for Breast Cancer Detection”, Neural Computation & Application, Springer, ISSN 0941-0643,vol 24, issue 3, pp. 745-753, March 2014, DOI10.1007/s00521-012-1286-6.
317. Nayak, Janmenjoy, Bighnaraj Naik, and Himansu Sekhar Behera. "Solving nonlinear classification problems with black hole optimisation and higher order Jordan Pi-sigma neural network: a novel approach." International Journal of Computational Systems Engineering 2, no. 4 (2016): 236-251. (Inderscience)
318. PK Sethy*, C Kumari, B Negi, SK Behera, NK Barpanda, AK Rath (2017). Identification of Mineral Deficiency in Rice Crop based on SVM in Approach of K-Means& Fuzzy C-Means Clustering. Helix (ISSN: 2319-5592); 7(5):1970-1983. (ESCI Indexed)
319. Rakesh Mohanty and Ashirbad Mishra, Performance Evaluation of a Novel Most Recently Used Frequency Count (MRUFC) List Accessing Algorithm, In Proceedings of the International Conference on Advance Computing (ICADC), AISC, Springer, 2012
320. S. Dash, M. R. Senapati, P. K. Sahu, P. S. R. Choedary “Illumination normalized based technique for retinal blood vessel segmentation” International Journal of Imaging system Technology, Wiley, vol. 31, issue 1, pp. 351-363, 2020. doi.org/10.1002/ima.22461
321. A. Ranganath, M. R. Senapati, P. K. Sahu, “Estimating the fractal dimension of images using pixel range calculation technique” The Visual Computer, Springer, vol. 37, issue 8, pp. 635-650, 2020. doi.org/10.1007/s00371-020-01829-1
322. S. Acharya and C.R. Tripathy, “A reliable fault-tolerant ANFIS model based data aggregation scheme for Wireless Sensor Networks”, Journal of King Saud University – Computer and Information Sciences, Elsevier, Vol. 32, pp. 741-753, 2020.
323. Rakesh Mohanty, Sangita Patel, Shiba Prasad Dash and Burle Sharma, TRANS outperforms MTF for special request sequences without locality of reference, Procedia Technology, Elsevier, 2012.
324. M.K.Patel, M.R.Kabat, C.R.Tripathy “A Hybrid ACO/PSO Based Algorithm for QoS Multicast Routing Problem” Ain Shams Engineering journal, vol 5(1), pp113-120, 2014.
325. S. Meenakshi, Amiya Kumar Rath, Seemita Mohanty" A Review on Requisite Generic Attributes for Engineering Graduates", Journal of Engineering Education Transformations, Volume 28, Issue 4, April 2015,pp. 83-91, Online ISSN: 2394 - 1707 Print ISSN : 2349 – 2473.
326. S. Majhi, Gyanaranjan Shial, “Challenges in Big Data Cloud Computing And Future Research Prospects: A Review”. Smart Computing Review, 5(3): 340-345 (2015).
327. M.R.Senapati, P.K.Dash, “Intelligent Systems Based on Local Linear Wavelet Neural Network and Recursive Least Square Approach for Breast Cancer Classification”, Artificial Intelligence and Review, Springer, ISSN 0269-2821. vol 39, issue 2, pp 151-163, February 2013, DOI: 10.1007/s10462-011-9263-5.
328. Naik, Bighnaraj, Janmenjoy Nayak, Himansu Sekhar Behera, and Ajith Abraham. "An improved harmony search-based functional link higher order ANN for nonlinear data classification." International Journal of Intelligent Systems Design and Computing 1, no. 3-4 (2017): 286-318. (Inderscience)
329. P. K. Das, A Konar and R Laishram, “ Path Planning of Mobile Robot in Unknown Environment” International Journal of Communication and Computer Technologies Vol. 1, no. 2, 3-5, pp. 26-31, 2010.
330. Bhattacharjee, G., &Saluja, A. S. (2019). A Path-Oriented Test Data Generation Approach Hybridizing Genetic Algorithm and Artificial Immune System. In Computational Intelligence in Data Mining (pp. 649-658). Springer, Singapore.
331. Sushree Bibhuprada B. Priyadarshini, S. Panigrahi, “A Quadrigeminal Scheme based on Event Reporting Scalar Premier Selection for Camera Actuation in Wireless Multimedia Sensor Networks”, Journal of King Saud University: Engineering Sciences, Elsevier, 2017, ISSN: 1018-3639, doi: 10.1016/j.jksues.2017.04.002 (Article In Press) (UGC Care Listed, Scopus, IF = 4.806).
332. "A Kerberos Based Secure Communication System in Smart (Internet of Things) Environment", Swagat Kumar Jena, Bata Krishna Tripathy, Prachi Gupta & Satyabrata Das, J. Comput. Theor. Nanosci.(Scopus) 16, 2381-2388 (2019), https://www.ingentaconnect.com/content/asp/jctn/2019/00000016/f0020005/art00106,DOI:https://doi.org/10.1166/jctn.2019.7904
333. Josabanta Karali, SibaramaPanigrahi, H. S. Behera, “A Novel Differential Evolution Based Algorithm for Higher Order Neural Network Training”,Journal of Theoretical and Applied Information Technology E-ISSN 1817-3195 / ISSN 1992-8645, Vol. 56 Issue 2, pp 355-361, 2013. [ELSEVIER, ScienceDirect] [SCOPUS][IMPACT FACTOR: 0.60] [h-Index:29]
334. PK Sethy*, S Satpathy, GR Panigrahi, SK Behera (2019). Rice Grain Identification Model based on Bayesian Regularization of Artificial Neural Network using Geometrical Feature. International Journal of Emerging Technologies and Innovative Research (ISSN: 2349-5162); 6(5):538-542. Available: http://www.jetir.org/papers/JETIR1905682.pdf. (UGC Approved. Sl. No. 63975)
335. PK Sethy*, SK Behera, S Dash, A Pattnaik. (2019). Rice Quality Evaluation Based on Image Processing: A Survey. International Journal of Information Technology and Electrical Engineering; 8(5):26-34. ISSN: 2306-708X. (UGC CARE LIST- B GROUP).
336. Rakesh Mohanty, Sangita Patel, Shiba Prasad Dash, Burle Sharma, Some Novel Results From Analysis of MTF List Accessing Algorithm, International Journal of Systems, Applications and Algorithms, Special Issue, May, 2012. (acceptance rate-13%).
337. P. Mohanty, M.R.Kabat, M.K.Patel “An Energy Aware Transport Protocol in Wireless Sensor Networks” International Journal of Information Processing, volume 6, issue 3, pp.  23-31, 2012.
338. Gyanendra Kumar Pallai, S Meenakshi, Amiya Kumar Rath , Bansidhar Majhi “A Quantitative Analysis and Behavioral Study of Routing Protocols in MANET”, International Journal of Computer Science and Mobile Computing (IJCSMC), Vol. 3, Issue. 11, November 2014, pg.127 – 136), ISSN 2320–088X.
339. S. Majhi, S. Behera, “Algorithmic Approach for Test Scenario Generation from UML Composite Structure Diagram”, International Journal of Information Processing, 9 (3): 17-27 (2015).
340. A.K. Mohanty, M. R. Senapati, S.K.Lenka, “A novel mining technique for classification of mammograms using hybrid feature selection”, Neural Computing and Application, Springer, ISSN: 0941-0643, vol 22, issue 6, pp 1151-1161, May 2013, DOI: 10.1007/s00521-012-0881-x
341. Naik, Bighnaraj, Janmenjoy Nayak, and Himansu Sekhar Behera. "An efficient FLANN model with CRO-based gradient descent learning for classification." International Journal of Business Information Systems 21, no. 1 (2016): 73-116. (Inderscience)
342. S. Pattnaik, P. K. Sahu, “Assimilation of fuzzy clustering approach and EHO-Greedy algorithm for efficient routing in WSN” International Journal of Communication systems, Wiley, vol. 33, issue 8, pp. 1-20, 2020. doi.org/10.1002/dac.4354
343. N. Acharya, P. Nanda, S. Panda and S. Acharya, “A comparative study of stability characteristics of mahua and jatropha biodiesel and their blends”, Journal of King Saud University – Engineering Sciences, Elsevier, Vol. 31, pp. 184-190, 2019.
344. P. K Das, A. Konar and R. Laishram, “ Visual perception-based motion planning using road map”, International Journal of Computational vision and robotics, Inderscience Vol. 1, no. 4, pp. 430-440, 2010.
345. Bhattacharjee, G., & Dash, S. (2018). Test Path Prioritization from UML Activity Diagram Using a Hybridized Approach. International Journal of Knowledge-Based Organizations (IJKBO), IGI Global, 8(1), 83-96.
346. Sushree Bibhuprada B. Priyadarshini, S. Panigrahi, “Creating More Efficient Distributed Cameras: A Distributed Multievent Ensnaring Scheme Based on Scalar Leader Determination”, IEEE Consumer Electronics Magazine, IEEE, vol. 7, no. 5, pp. 34 – 39, 2018 (UGC Care Listed, Scopus, IF = 3.789).
347. "A novel rough set based affinity propagation method for cholesterol prediction from ABC transporter", Ramamani Tripathy, Debahuti Mishra, Rudra Kalyan Nayak & Satyabrata Das, Indian Journal of Public Health Research & Development (Scopus)9 (9), 1420-1426(2018), DOI:10.5958/0976-5506.2018.01190.7
348. K.K.Sahu, Sibarama Panigrahi and H. S. Behera, “A novel Chemical Reaction Optimization Algorithm for Higher Order Neural Network Training”, Journal of Theoretical and Applied Information, E-ISSN 1817-3195 / ISSN 1992-8645, Vol. 53 Issue 3, pp 402-409, 2013. [ELSEVIER, ScienceDirect] [SCOPUS][IMPACT FACTOR: 0.60] [h-Index:29]
349. P. K Das, B. M Sahoo, H. S Behera and S. Vashisht, “ An improved particle swarm optimization for multi-robot path planning”, Innovation and Challenges in Cyber Security (ICICCS-INBUSH), pp. 97-106, 2016
350. Pujari, S. K., Bhattacharjee, G., &Bhoi, S. (2018). A hybridized model for image encryption through genetic algorithm and DNA sequence. Procedia Computer Science, Elsevier, 125, 165-171
351. D. Kar, S. Panigrahi, and S. Sundararajan, “SQLiGoT: Detecting SQL Injection Attacks using Graph of Tokens and SVM,” Computers & Security, Elsevier, vol. 60, pp. 206-225, 2016, ISSN: 0167-4048, doi:10.1016/j.cose.2016.04.005 (Scopus, SCI Expanded (SCI-E), IF = 4.438).
352. "Survey of Energy-Efficient Techniques for the Cloud-Integrated Sensor Network", Kalyan Das, Satyabrata Das, Rabi Kumar Darji & Ananya Mishra, Journal of Sensors, Hindawi,(SCIE) Volume 2018 (2018), Article ID 1597089, pp 1-17, https://www.hindawi.com/journals/js/2018/1597089
353. Archana Baral and H. S. Behera, “A Novel Chemical Reaction Based Clustering and its Performance Analysis”,International Journal of Business Intelligence and Data Mining, ISSN: 1743-8187,Vol 8 No. 2, pp 184-198, 2013. [Inderscience,ACM Digital Library] [SCOPUS][IMPACT FACTOR: 0.61] [h-Index:19]
354. Rakesh Mohanty, Shiba Prasad Dash, Burle Sharma, Sangita Patel, Performance Evaluation of A Proposed Variant of Frequency Count (VFC) List Accessing Algorithm, International Journal of Systems, Applications and Algorithms, Special Issue, May, 2012.(acceptance rate : 13%).
355. S.S. Maharana, S.P.Sahoo, M.R.Kabat, “Advanced Pattern Based Merge Sort With Pooling” International Journal of Computer Science and Technology,3(2),2012.
356. Rajeeb S. Bal, Amiya Kumar Rath "Clustering Structure and Deployment of Node in Wireless Sensor Network", International Journal Information Technology and Computer Science, 2014, 10, 70-76, Published Online September 2014 in MECS (http://www.mecs-press.org/), DOI: 10.5815/ijitcs.2014.10.10.
357. S. Majhi, “Cyber security Issues and Challenges: A view”, Journal of Global Research in Computer Science, 6, 1-5 (2015).
358. M.R.Senapati, P.K.Dash, “Local Linear wavelet Neural Network based breast cancer classification using firefly algorithm”, Neural Computing and Application, Springer, ISSN: 0941-0643, Vol 22, Issue 7, pp 1591-1598, September 2013, DOI 10.1007/s00521-012-0927-0
359. Naik, Bighnaraj, Janmenjoy Nayak, and H. S. Behera. "FLANN+ BHO: A Novel Approach for Handling Nonlinearity in System Identification." International Journal of Rough Sets and Data Analysis (IJRSDA) 5, no. 1 (2018): 13-33. (IGI Global)
360. P. K. Sahu, K. Manna, T. Shah, and S. Chattopadyay, “Thermal Uniformity-Aware Application Mapping for Network-on-Chip Design,” International Journal of Computer Applications, vol. 99 (2), pp. 8-22, Aug. 2014. DOI: 10.5120/17351-7838, ISSN: 0975 – 8887.
361. SK Behera*, S Sangita, PK Sethy, AK Rath (2018). Image Processing Based Detection & Size Estimation of Fruit on Mango Tree Canopies. International Journal of Applied Engineering Research (ISSN 0973-4562); 13(4):6-13. (UGC approved list 64529)
362. N. Acharya, P. Nanda, S. Panda and S. Acharya, “Biodiesel from Non-Edible Vegetable Oils: A Review on Engine Performance and Emission Characteristics”, Nature Environment and Pollution Technology, Vol. 17, No. 3, pp. 711-720, 2018.
363. S. Acharya and C.R. Tripathy, “A Fuzzy Knowledge Based Fault Tolerance Mechanism for Wireless Sensor Networks”, International Journal of Rough Sets and Data Analysis (IJRSDA), IGI-GLOBAL, Vol. 5, No. 1, pp. 99-116, 2018.
364. M.R.Kabat, M.K.Patel, C.R.Tripathy, “A Heuristic Algorithm for Core Selection in Multicast Routing” Journal of Computer Science and Technology 26(6),pp.954-961, 2011.
365. Rajeeb Sankar Bal, Amiya Kumar Rath “Comparison of Routing Protocols in Wireless Sensor Network" International Journal of Innovative Science, Engineering & Technology (IJISET) www.ijiset.com , ISSN 2348 – 7968, Vol. 1 Issue 4, June 2014, pp. 230-235.
366. S. Majhi, “Cloud Service Provider Selection in Federated Multi Cloud System: An Algorithmic Approach”, International Journal of Applied Engineering Research (IJAER), 10, 31781-31785 (2015).
367. M. R. Senapati, A. K. Mohanty, S. Dash, P. K. Dash, “Local linear wavelet neural network for breast cancer recognition”, Neural Computing and Application”, Springer, ISSN: 0941-0643, vol 22, issue 1, pp 125-131, January 2013, DOI 10.1007/s00521-011-0670-y.
368. Kanungo, D. P., Janmenjoy Nayak, Bighnaraj Naik, and Himansu Sekhar Behera. "Hybrid clustering using elitist teaching learning-based optimization: an improved hybrid approach of TLBO." International Journal of Rough Sets and Data Analysis (IJRSDA) 3, no. 1 (2016): 1-19. (IGI Global)
369. P. K. Sahu, K. Manna, and S. Chattopadyay, “Application Mapping onto Butterfly-Fat-Tree based Network-on-Chip using Discrete Particle Swarm Optimization,” International Journal of Computer Applications, vol. 115 (2), pp. 13-22, April. 2015, DOI: 10.5120/20258-2643, ISSN: 0975 – 8887.
370. P. K Das, S. C. Mandhata and S. N. Patro, “ Real Time Visual Authentication Using Fuzzy Moments.”, Journal of Theoretical & Applied Information Technology, Vol. 43, no. 2, pp. 236-244, 2012.
371. Bhattacharjee, G., &Pati, P. (2014). A novel approach for test path generation and prioritization of UML activity diagrams using Tabu Search algorithm. International Journal of Scientific & Engineering Research, 5(2), 1212-1217.
372. Sharmila Subudhi, S. Panigrahi, “Use of Optimized Fuzzy C-Means lustering and supervised classifiers for automobile insurance fraud detection”, Journal of King Saud University - Computer and Information Sciences, Elsevier, 2017, ISSN: 1319-1578, doi: https://doi.org/10.1016/j.jksuci.2017.09.010 (Article In Press) (Scopus, SCI Expanded (SCI-E), IF = 13.473).
373. "Task Partitioning Scheduling Algorithm for Heterogeneous Multi-Cloud Environment:, Sanjaya Ku. Panda, Sohan Ku. Pandey & Satyabrata Das, Arabian Journal for Science and Engineering (AJSE) Springer 2017,(SCI) Vol 1 Issue 12, pp 1-21,https://link.springer.com/article/10.1007/s13369-017-2798-2,DOI:https://doi.org/10.1007/s13369-017-2798-2
374. B.Biswal, H. S. Behera, R.Bisoi and P.K.Dash “Classification of Power Quality Data Using Decision Tree and Chemotactic Differential Evolution Based Fuzzy Clustering” Swarm and Evolutionary Computation, ISSN: 2210-6502, Vol. 4, pp. 12-24, 2012. [ELSEVIER, ScienceDirect] [SCI, SCOPUS][IMPACT FACTOR: 7.177] [h-Index:65]
375. SK Behera*, N Mishra, AK Rath, PK Sethy (2018). A Novel Approach for Classification of Apple Using On-Tree Images Based on Image Processing. International Journal of Applied Engineering Research (ISSN 0973-4562); 13(4):47-51. (UGC approved list 64529)
376. Suchismita Pattanaik, Shubhendu Prakash Bhoi, Rakesh Mohanty, Simulated Annealing Based Placement and Research Challenges: A Survey, Journal of Global Research in Computer Science (JGRCS), Vol. 3, No. 6, June, 2012
377. PK Sethy, S Panda *, SK Behera, AK Rath (2017). On Tree Detection, Counting & Post- Harvest grading of fruits Based on Image Processing and Machine Learning Approach-A Review. International Journal of Engineering and Technology (ISSN: 0975-4024); 9(5):649-663. (DOI:10.21817/ijet/2017/v9i2/170902058)
378. Rakesh Mohanty, H.S. Behera, Sukant Kumar Bishi, Ritesh Jha, Off-line List Accessing Algorithm with Circular Doubly Linked List and Partial Cost Model, Current Trends in Information Technology, Volume 1, Issue 1, Pages 16-22, May 2011.
379. M.K.Patel, M.R.Kabat, C.R.Tripathy, “An Efficient Algorithm for Delay and Delay-Variation Bounded Core Based Tree Generation” Special Issue of International Journal of Computer and Communication Technology 1(2,3,4) pp.94-100, 2010.
380. Rajeeb Sankar Bal, Amiya Kumar Rath "Distance Based Dynamic Cluster Head Selection in Wireless Sensor Network", International Journal of Modern Computer Science (IJMCS) ISSN: 2320-7868 (Online) Volume 3, Issue 1, February, 2014, pp 7-13.
381. Gyanaranjan Shial, S. Majhi, D B Phatak, “A Comparison Study for File Synchronisation”, Proceedia Computer Science, Elsevier, 48, 133-141 (2015).
382. Aswini Kumar Mohanty,Manas Ranjan Senapati, Swapnasikta Beberta, Saroj Kumar Lenka,“Texture-based features for classification of mammograms using decision tree”, Published in Neural computing and application, Springer, ISSN: 0941-0643, Vol 23, issue 4, pp 412-418, September 2013, DOI 10.1007/s00521-012-1025-z
383. A. Mishra, S.K. Srichandan, Bighnaraj Naik. “Missing Value Imputation Using ANN Optimized by Genetic Algorithm”. International Journal of Applied Industrial Engineering, IGI Global (Accepted, In Press)
384. P. K. Sahu, K. Manna, T. Shah, and S. Chattopadyay, “A Constructive Heuristic for Application Mapping onto Mesh based Network-on-Chip,” Journal of Circuits, Systems, and Computers, World Scientific, vol. 24, issue. 8, pp. 1-29, Jun. 2015, DOI: 10.1142/S0218126615501261, ISSN: 0218-1266.
385. S. Acharya and C.R. Tripathy, “An ANFIS estimator based data aggregation scheme for fault tolerant Wireless Sensor Networks”, Journal of King Saud University – Computer and Information Sciences, Elsevier, Vol. 30, No. 3, pp. 334-348, 2018.
386. P. K Das, S. C. Mandhata, H. S. Behera, S. N. Patro, “ Visual Perception based Motion Planning of Mobile Robot using Road Sign”, International Journal of Computer Applications Vol. 48, no. 15, pp. 4-9, 2012.
387. Bhattacharjee, G., & Pujari, S. K. (2017). Aerial Image Segmentation: A Survey.International Journal of Applied Information Systems, 12(5). Published by Foundation of Computer Science (FCS), NY, USA.
388. Sharmila Subudhi, S. Panigrahi, “Application of OPTICS and Ensemble Learning for Database Intrusion Detection”, Journal of King Saud University - Computer and Information Sciences, ISSN: 1319-1578, doi: https://doi.org/10.1016/j.jksuci.2017.09.010 (Article in Press) (Scopus, SCI Expanded (SCI-E), IF = 13.473).
389. "An Efficient Intra-Server and Inter-Server Load Balancing Algorithm for Internet Distributed Systems", Swati Mishra, Sanjaya Ku. Panda & Satyabrata Das, International Journal of Rough Sets and Data Analysis(IJRSDA) igi-global 2017, Vol 4 Issue 1,Article 1, https://doi.org/10.4018/IJRSDA.2017100102,DOI:, 10.4018/IJRSDA.2017100102
390. H. S. Behera, Ritesh Kumar Jha, RakeshMohanty, Sukant Kumar Bishi, “Off-Line List Accessing Algorithms With Circular Doubly Linked List And Partial Cost Mode”, Journal of Current Trends in Information Technology, STM Journals, ISSN:2249- 4707, Vol 1, Issue 1, PP 16-22, 2011.[DOAJ,J-Gate, Index Copernicus, Worldcat]
391. Pradipta K Das, S. C. Mandhata, H.S Behera, S.N. Patro,” An Improved Q-learning Algorithm for Path-Planning of a Mobile Robot”,International journal of computer application,vol-51,No-9,pp 40-46 2012 ISSN 0975 – 8887
392. Bhattacharjee, G., & Patnaik, K. S. (2013) A Systematic Study of Test Adequacy Criteria satisfied by UML Behavioural Models.International Journal of Engineering Research & Technology, 2 (12), 2806-2813.
393. A. Kundu, S. Panigrahi, S. Sural and A. K. Majumdar, “BLAST-SSAHA Hybridization for Credit Card Fraud Detection”, IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), vol. 6, no. 4, pp. 309-315, October-December 2009, ISSN: 1545-5971, doi: 10.1109/TDSC.2009.11 ((SCI Expanded (SCI-E), IF = 7.329)).
394. "A Customer-Oriented Task Scheduling for Heterogeneous Multi-cloud Environment", Sohan Ku. Pande, Sanjaya Ku. Panda & Satyabrata Das, International Journal of Cloud Applications and Computing(IJCAC) igi-global 2017, Vol 6 Issue 4, Article 1, https://doi.org/10.4018/IJCAC.2016100101,DOI: 10.4018/IJCAC.2016100101
395. Rao D.C., Kabat, M.R., Das, P.K. and Jena, P.K., Hybrid IWD-DE: a novel approach to model cooperative navigation planning for multi-robot in unknown dynamic environment. Journal of Bionic Engineering, 16(2), pp.235-252, 2019, Springer.
396. H. S. Behera, Jajnaseni Panda, Dipanwita Thakur, SubasiniSahoo, “A Clustering Based CPU Scheduling Algorithm for Real Time Systems”, International Journal of Current Trends in Information Technology, STM Journals, ISSN 2249- 4707, Vol 1, Issue 1, PP 1-7, 2011.[DOAJ,J-Gate, Index Copernicus, Worldcat]
397. M.R.Kabat, R.Mall, C.R.Tripathy, “Supporting QoS aware multicasting in Differentiated Service Networks” International Journal of Information and Communication Engineering 6(2) pp. 115-124, 2010.
398. S.Kisan & M.Priyadarshini “Relative improved differential box-counting approach to compute fractal dimension of gray-scale images”, International Journal of Engineering Research and General Science Volume 3, Issue 1, January-February, 2015 ISSN 2091-2730.
399. Sk. Riazur Raheman, Amiya Kumar Rath, M Hima Bindu “Dynamic Slice of Aspect Oriented Program: A Comparative Study” International Journal on Recent and Innovation Trends in Computing and Communication (IJRITCC) http://www.ijritcc.org/, February 2014 Volume 2 Issue 2.
400. S. Majhi, “An Efficient Information Retrieval Algorithm for Federated Healthcare Medication System”, International Journal of Advanced Electrical and Electronics Engineering (IJAEEE), 4, 28-33 (2015)
401. Suchismita Sahoo, Susreesangita Sahoo, M.R.Senapati, P.K.Dash, “Local Linear Neural Network and RLS for usable speech classification”, International Journal of Computer Science Issues, vol.8, issue 4, pp. 412-418, July 2011.
402. Nayak, Janmenjoy, Bighnaraj Naik, and H. Behera. "A comprehensive survey on support vector machine in data mining tasks: applications & challenges." International Journal of Database Theory and Application 8, no. 1 (2015): 169-186.
403. P. K. Sahu, K. Manna, N. Shah, and S. Chattopadyay, “Extending Kernighan–Lin partitioning heuristic for application mapping onto Network-on-Chip,” Journal of System Architecture (JSA), Elsevier, vol. 60, pp. 562-578, May 2014. DOI: 10.1016/j.sysarc.2014.04.004, ISSN: 1383-7621.
404. Kshiramani Naik and Arup Kumar Pal, “Design of a Cryptosystem for DCT Compressed Image using Arnold Transform and Fractional Fourier Transform ”, International Journal of Computer Vision and Robotics(IJCVR) (INDERSCIENCE), vol. 5, no. 3, pp. 335-346, 2015.
405. PK Sethy*, B Negi, SK Behera, NK Barpanda, AK Rath (2017). An Image Processing Approach for Detection, Quantification, and Identification of Plant Leaf Diseases -A Review. International Journal of Engineering and Technology (ISSN: 0975-4024); 9(2):635-648. (DOI: 10.21817/ijet/2017/v9i2/170902059)
406. Rakesh Mohanty and Sasmita Tripathy, Improved Move-To-Front(IMTF) Off-line Algorithm for the List Accessing Problem, International Journal of Advanced Computing and Communications (IJACC), Vol. 3, No. 1, pp 19-24, 2011.
407. N. Acharya, P. Nanda, S. Panda and S. Acharya, “Analysis of properties and estimation of optimum blending ratio of blended mahua biodiesel”, Engineering Science and Technology, an International Journal, Elsevier, Vol. 20, No. 2, pp. 511-517, 2017.
408. S. Acharya, “Study and Analysis of TCP/IP Congestion Control Techniques : A Review”, International Journal of Engineering Associates, Vol.1, No. 2, pp. 57-62, 2012.
409. Rao D. C., Kabat, M. R., Das, P. K., and Jena, P. K., Cooperative navigation planning of multiple mobile robots using improved krill herd. Arabian Journal for Science and Engineering, 43(12), 7869-7891, 2018, Springer
410. G.Bhattacharjee & P.Pati, “A Novel Approach for Test Path Generation and Prioritization of UML Activity Diagrams using Tabu Search Algorithm”, International Journal of Scientific and Engineering Research, Volume 5 Issue 2, Feb 2014.
411. M.R.Kabat, M.K.Patel, C.R.Tripathy, “An Efficient Algorithm for Delay- Delay Variation Bounded Multicast Tree Generation” International Journal of Electrical and Electronics Engineering, 3(7) pp. 387-395, 2009.
412. Sachin Tripathi, Sumitra Kisan , “Algorithm Removal of Digital Envelopes in SET Protocol Using Diffie- Hellmann Key Exchange”, Proceedings of the World Congress on Engineering 2012 Vol IWCE 2012, July 4 - 6, 2012, London, U.K.
413. S.Meenakshi, Amiya Kumar Rath “Emergent Need of Quality Assurance for Engineering Education: India’s perspective”, International Journal of Intelligent Computing & Applied Sciences (IJICAS), ISSN (Print) 2322-0031, Special Issue- January-2014, DRIEMS, pp 3-7.
414. S Majhi, P. Bera, “OHMF: Optimal Healthcare Medication Framework”, International Journal of Information Processing, 8, 1-12, 2014
415. M.R.Senapati, I.Vijaya, P.K.Dash “Rule Extraction by Training Radial Basis Functional Neural Network with Particle Swarm Optimization” published in American Journal of Science, Science Publication, ISSN: 1549-3636, vol 3, issue 8, pp.592-599,2007
416. Das, Himansu, Bighnaraj Naik, Bibudendu Pati, and Chhabi Rani Panigrahi. "A survey on virtual sensor networks framework." International Journal of Grid Distribution Computing 7, no. 5 (2014): 121-130. (SCIE)
417. P. K. Sahu, T. Shah, K. Manna, and S. Chattopadyay, “Application Mapping onto Mesh based Network-on-Chip using Discrete Particle Swarm Optimization,” IEEE Transactions on VLSI Systems (T-VLSI), 22 (2), pp. 300-312, Mar. 2013, DOI: 10.1109/ TVLSI.2013.2240708, ISSN: 1063-8210.
418. Kshiramani Naik, Arup Kumar Pal and Rohit Agarwal, “Selective Image Encryption using Singular Value Decomposition and Arnold Transform ”, The International Arab Journal of Information and Technology, (SCIE Indexed)(In Press).
419. Ananya Das, Priyadarsini, Mohapatra,Prakruti Mishra,Pradipta K.Das,Subash C Mandhata” Improved real time A* algorithm for path planning of mobile robot in Quadrant Based Environment”, International Conference on Advanced Computer Theory and Engineering (ICACTE), pp 25-30, 2012 ISBN: 987-9381361-18-8.
420. S. Panigrahi, S. Sural and A. K. Majumdar, “Two-Stage Database Intrusion Detection by Combining Multiple Evidence and Belief Update”, Information Systems Frontiers (Special Issue on Security Management and Technologies for Protecting Against Internal Data Leakages), Springer, vol. 15, no. 1, pp. 35-53, 2013, ISSN: 1387-3326 (Print) 1572-9419 (Online), doi: 10.1007/s10796-010-9252-2 ((Scopus, SCI Expanded (SCI-E), IF = 6.191)).
421. "An Efficient Clustering in MANETs With Minimum Communication and Reclustering Overhead", Mohd. Yaseen Mir & Satyabrata Das, International Journal of Rough Sets and Data Analysis(IJRSDA) igi-global 2017, Vol 4 Issue 4, Article 7, https://doi.org/10.4018/IJRSDA.2017100107,DOI: 10.4018/IJRSDA.2017100107
422. H. S. Behera>, P. K. Dash and B Biswal, “Power Quality Time Series Data Mining using S-Transform and Fuzzy Expert System” Journal of Applied Soft Computing, ISSN No. 1568-4946, IF: 2.970, Vol 10, Issue 3, pp 945-955, 2010.[ELSEVIER, ScienceDirect] [SCI, SCOPUS][IMPACT FACTOR: 6.725] [h-Index:143]
423. PK Sethy*, P Bidhar, J Padhi, SK Behera (2016). Real-time Implementation of Odd-Even Traffic Control Formula Using Arduino. International Journal of Control Theory and Applications I J C T A, © International Science Press (ISSN: 0974-5572); 9(16):8001-8011.
424. Rakesh Mohanty, H.S. Behera, Sasmita Tripathy, B. Nayak, S. Mallick, A. Agrawal, S. Sourav, Comparative Performance Analysis of Proposed Variants of List Accessing Algorithms using Centralized Cost Model With Doubly Linked List, In Proceedings of the IEEE International Conference on Methods and Models in Computer Science (ICM2CS), ISBN No. 978-1-4244-9701-0, December, 2010. (acceptance rate : 8.46 %).
425. SK Behera*, PK Sethy, PM Khilar (2011). Fault Diagnosis in Wireless Sensor Network using Timed Automata. International Journal of Computer Applications; 297(7):15-20. (DOI:10.5120/3578-4948)
426. S. Majhi, S. Srichandan, S. Dhal, “An Algorithm for VM Migration: Analysis & Implementation”, Communications on Applied Electronics 3 (4), 2015.
427. Rakesh Mohanty and N. S. Narayanawamy, Online Algorithms for Self Organizing Sequential Search : A Survey, Electronics Colloquium on Computational Complexity (ECCC), TR09-097, ISSN 1433-8092, October 2009. ( IF - 1.12 )
428. B. Kar, D. C. Rao, and A. K. Rath, “Generating PNS for Secret Key Cryptography Using Cellular Automaton”, International Journal of Advanced Computer Science and Applications, Vol. 2, No. 5, 2011.
429. G.Bhattacharjee & K.S.Patnaik, “A Systematic Study of Test Adequacy Criteria satisfied by UML Behavioral Models”, International Journal of Engineering Research and Technology, Volume 2 Issue 12, Dec 2013.
430. M.R.Kabat, S.K.Mohanty, R.Mall, C.R.Tripathy, “An Efficient Heuristic Multicast QoS Routing Algorithm for Real-Time Applications” International Journal of Information Processing 1(1) pp. 22-29, 2007.
431. Sachin Tripathi,G.P.Biswas and Sumitra Kisan,”Cryptographic Keys Generation Using Identity”, Proc. of Int. Conf. on Advances in Recent Technologies in Communication and Computing 2011.
432. Amiya Kumar Rath “Introduction to cloud Computing” Invited talk, National Conference on Current Trends in Computing (NCCTC) 23rd-24th March, 2014, Department of Computer Applications, North Orissa University, Baripada, Mayurbhanj, Odisha, India.
433. G. Shial and S. Majhi, “Techniques for file synchronisation: a survey”, Journal of Global Research in Computer Science, 5, 1-4 (2014)
434. M.R.Senapati, P.K.Dash, Maya Nayak, I.W.C. Lee “Mining for similarities in time series data using wavelet-based feature vectors and neural networks” published in “Engineering Application of Artificial Intelligence’ Elsevier Science, ISSN: 0952-1976, vol 20, Issue: 2, pp.185-201, 2007, https://doi.org/10.1016/j.engappai.2006.06.018
435. Mahapatra, Sarita, Alok Kumar Jagadev, and Bighnaraj Naik. "Performance Evaluation of PSO Based Classifier for Classification of Multidimensional Data with Variation of PSO Parameters in Knowledge Discovery Database." International Journal of Advanced Science and Technology 34 (2011): 27-44.
436. P. K. Sahu, and S. Chattopadyay, “A Survey on Application Mapping Strategies for Network-on-Chip Design,” Journal of System Architecture, Elsevier (JSA), vol. 59, issue 1, pp. 60-76, Jan. 2013, DOI: 10.1016/j.sysarc.2012.10.004, ISSN: 1383-7621.
437. Arup Kumar Pal, Kshiramani Naik and Rohit Agarwal , “A Steganography scheme on JPEG cover image with Enhanced Visual Quality and Embedding Capacity ”, The International Arab Journal of Information and Technology, (SCIE Indexed) (In Press).
438. S. Acharya, “Mathematics in Internet Traffic Data Analysis”, International Journal of Computer Science and Informatics, Vol. 1, No. 1, pp. 57-65, 2011.
439. U.K.Jena, M.R.Kabat, P.K.Das, “Real Time Tracking of Complete Transport SystemUsing GPS in Android System”, Vol. 6, Issue 1, pp.1205-1207,2018
440. S. Panigrahi, A. Kundu, S. Sural and A. K. Majumdar, “Credit Card Fraud Detection: A Fusion Approach using Dempster-Shafer Theory and Bayesian Learning”, Information Fusion (Special Issue on Information Fusion in Computer Security), Elsevier, vol. 10, no. 4, pp. 354-363, 2009, ISSN: 1566-2535, doi:10.1016/j.inffus.2008.04.001 (Scopus, SCI Expanded (SCI-E), IF = 12.975).
441. "Design and Development of a Parallel Lexical Analyzer for C Language", Swagat Ku. Jena, Satyabrata Das & Satya Prakash Sahoo, International Journal of Knowledge-Based Organizations (IJKBO) igi-global 2017,Vol 8 Issue 1, Article 5, https://doi.org/10.4018/IJKBO.2018010105,DOI: 10.4018/IJKBO.2018010105
442. P. K. Dash, H. S. Behera and IWC Lee "Time Sequence Data Mining using Time- Frequency Analysis and Soft computing Techniques", Journal of Applied Soft Computing, ISSN No. 1568-4946, IF: 2.970, Vol:8 Issue 1, pp. 212-226, Jan 2008.[ELSEVIER, ScienceDirect] [SCI, SCOPUS][IMPACT FACTOR: 6.725] [h-Index:143]

National Publications

1. D. K. Sahu, A.Patra,, S.N.Mishra,M.R.Senapati, “Techniques for Time Series Prediction: - A Review”, International Journal of Research Science and Management, vol: 2, issue 3: March, 2015, ISSN: 2349-5197; pp-6-13
2. M.R Senapati,S. P Das, P.K.Champati, P.K.Routray, “Local Linear Radial Basis Function Neural networks for Classification of Breast Cancer data”, Progress In Science and Engineering Research Journal, November-December 2014, PISER 16, vol-02, Issue: 06, pp 033-042,ISSN 2347-6680,.
3. Tapaswini Nayak, M.R.Senapati, S.Prasad “A Text Mining Approach For Information Retrieval Used In Product Rating”, International Journal of Applied Engineering Research, Research India Publication, January 2015, vol-10, Issue-10, pp: 27137-27146,ISSN: 0973- 4562, https://dx.doi.org/10.19026/rjaset.10.1884
4. NIL
5. Ila Swain, Manas Ranjan Senapati, “Artificial Neural Network for Distribution Systems”, National Seminar on Future Trends on Data Mining, 2010.