P. S. Puhan and S. Behera, "Application of soft computing methods to detect fault in A.C motor," 2017 International Conference on Advances in Computing, Communication and Control (ICAC3), Mumbai, India, 2017, pp. 1-5, IEEE.

Sudersan Behera, "Implementation of a Finite State Automaton to Recognize and Remove Stop Words in English Text on its Retrieval," 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI), Tirunelveli, India, 2018, pp. 476-480. IEEE.

Sudersan Behera, "Knowledge Mining from Large Volume of Dataset using Fuzzy Association Rule," 2019 Third International Conference on Inventive Systems and Control (ICISC), Coimbatore, India, 2019, pp. 546-550. IEEE.

Sudersan Behera, Sarat Chandra Nayak, Sanjib Kumar Nayak, Sung-Bae Cho, (2024), "A Swarm Optimised Deep Learning Model for Financial Time Series Forecasting", In book: Computing, Communication and Intelligence (pp.283-286), Srinivas Sethi, Bibhudatta Sahoo, Deepak Tosh, Suvendra Kumar Jayasingh, Sourav Kumar Bhoi (Eds).

N. Sahoo, M. Srividya, B. Surekha, G. Divyavani, K. Karthikeyan and S. Behera, "Enhancing Exchange Rate Forecasting with Genetically Optimized RBFN," 2024 IEEE International Conference on Smart Power Control and Renewable Energy (ICSPCRE), Rourkela, India, 2024, pp. 1-6.

Sudersan Behera, Attili Venkata Ramana, P Venkata Pratima, Kailash Sinha, P Sambasiva Rao, Mohd Ayaz Uddin, (2024). "Evolutionary hybrid neural networks for time series forecasting," 2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), Gwalior, India, 2024, pp. 1-6.

Sudersan Behera, G. Kadirvelu, P. Sambasiva Rao, P. Jangaiah, G.V Prasad, Kailash Sinha, (2024). "Financial Time Series Forecasting Using Hybrid Evolutionary Extreme Learning Machine". In: Tripathi, A.K., Anand, D., Nagar, A.K. (eds) Proceedings of World Conference on Artificial Intelligence: Advances and Applications. WCAIAA 2024. Algorithms for Intelligent Systems. Springer, Singapore.

Sudersan Behera, A V S Pavan Kumar, & Sarat Chandra Nayak, (2024) "Forecasting Financial Commodities Using an Evolutionary Optimized Higher-Order Artificial Neural Network" In: Chillarige, R.R., Distefano, S., Rawat, S.S. (eds) Advances in Computational Intelligence and Informatics. ICACII 2023. Lecture Notes in Networks and Systems, vol 993. Springer, Singapore.

Sudersan Behera, A V S Pavan Kumar, & Sarat Chandra Nayak,(2023). "Improved firefly based pi-sigma neural network for gold price prediction," 2023 OITS International Conference on Information Technology (OCIT), Raipur, India, 2023, pp. 202-207, IEEE.

Sudersan Behera, A V S Pavan Kumar, & Sarat Chandra Nayak, (2024). “Predicting Stock Market Prices Using a Hybrid of High-Order Neural Networks and Barnacle Mating Optimization”. In: Kumar, R., Verma, A.K., Verma, O.P., Wadehra, T. (eds) Soft Computing: Theories and Applications. SoCTA 2023. Lecture Notes in Networks and Systems, vol 971. Springer, Singapore.

[J9] Sudersan Behera “Application of Cloud Computing in Healthcare Domain” in International Journal of Scientific Engineering and Research (IJSER) , 2017

[J8] Pratap Sekhar Puhan, Sudersan Behera “Soft Computing Approach to Detect Fault in Induction Motor" Journal on Electrical Engineering, Indexed in EBESCO, Oct-Dec 2018, Vol. 12 Issue 2, p6-14

[J7] Sudersan Behera, P M Suresh “Enhancing Bitcoin Price Prediction with Evolutionary Radial Bias Function Networks”, in IJIMSR, EDUSKILL Publisher, Vol 2, No, 1 (2024)

[J6] Sudersan Behera “Metaheuristic-Based Support Vector Machines for Exchange Rate Forecasting”, SSRG International Journal of Recent Engineering Science, Volume 11 Issue 2, 31-38, Mar-Apr 2024.

[J5] Abdul Khadeer, Vanaparthi Kiranmai, B. Suvarnamukhi, Ayaz Mohiuddin, Balika Mahesh, P M Suresh, J Arthy, Sasikumar A N, Sudersan Behera, Mohd Ayaz Uddin “SAHAANN: A Novel Evolutionary Artificial Neural Network For Improved Financial Time Series Forecasting” . Proceedings on Engineering Sciences, SCOPUS.

[J4] Sudersan Behera, A V S Pavan Kumar, & Sarat Chandra Nayak, “Analyzing the performance of geometric mean optimization- Based artificial neural networks for cryptocurrency forecasting”. International Journal of Information Technology. (June 2024). SPRINGER NATURE, SCOPUS.

[J3] Sudersan Behera, A V S Pavan Kumar, & Sarat Chandra Nayak, “Improved Set Algebra-Based Heuristic Technique for Training Multiplicative Functional Link Artificial Neural Networks for Financial Time Series Forecasting”. SN COMPUTER SCIENCE. 5, 567 (May 2024), SPRINGER NATURE, SCOPUS.

[J2] Sudersan Behera, Sarat Chandra Nayak, & A V S Pavan Kumar, “Evaluating the Performance of Metaheuristic Based Artificial Neural Networks for Cryptocurrency Forecasting". Computational Economics, 64, 1219–1258 (September 2023), SPRINGER NATUR, SCIE, Q1, Impact factor 2.0.

[J1] Sudersan Behera, Sarat Chandra Nayak, & A V S Pavan Kumar, “A Comprehensive Survey on Higher Order Neural Networks and Evolutionary Optimization Learning Algorithms in Financial Time Series Forecasting”. Archives of Computational Methods in Engineering, 30, 4401–4448 (May 2023), SPRINGER NATURE, SCIE, Q1, Impact factor 9.7.