List of Publications

1. Shrayasi Datta, Chinmoy Ghosh, J. Pal Choudhury, "Classification of imbalanced datasets utilizing the synthetic minority oversampling method in conjunction with several machine learning techniques", Iran Journal of Computer Science (2024), Springer, pp 1-18. (Scopus) 

https://doi.org/10.1007/s42044-024-00207-7  

2. Shrayasi Datta, Chinmoy Ghosh, Piyali Saha, Shankhasree Sadhukhan, Piyasa Nandy, “Predicting Customer Churn in Banking Sector Using Machine Learning Classification Algorithms,” 3rd International Conference on Data Electronics and Computing for the year 2024 (ICDEC-2024), Springer-LNNS, (Scopus). Accepted & Presented. 

3. Adhishthatri Singh, Chinmoy Ghosh, Shrayasi Datta, “Navigating the Terrain of Decentralized Autonomous Organizations: An In-Depth Review of Blockchain Governance Initiatives,” 5th International Conference on Frontiers in Computing and Systems (COMSYS-2024), Springer-LNNS. (Scopus). Accepted & Presented.

4. Amiya Ghosh, Shrayasi Datta, and Chinmoy Ghosh, "A Thorough Literature Review on Iris Recognition Techniques and Classification Methods," National Conference on Recent Trends in Science and Technology (NCRTST 2025), March 29-30, 2025, Jalpaiguri, West Bengal, India.

https://doi.org/10.5281/zenodo.16561734

5. Adrita Mandal, Shrayasi Datta, and Chinmoy Ghosh, "IRIS CLASSIFICATION USING RESNET-18: A DEEP LEARNING APPROACH," National Conference on Recent Trends in Science and Technology (NCRTST 2025), March 29-30, 2025, Jalpaiguri, West Bengal, India. https://doi.org/10.5281/zenodo.16561734

6. Pankaj Barman, Agnisha De, Chinmoy Ghosh, and Shrayasi Datta, "Strengthening Web Application Security: Advances in Combating SQL Injection and Cross-Site Scripting Attacks," National Conference on Recent Trends in Science and Technology (NCRTST 2025), March 29-30, 2025, Jalpaiguri, West Bengal, India. https://doi.org/10.5281/zenodo.16561734

7. Shrayasi Datta and J. P. Choudhury, "Exploring machine learning techniques on Yeast dataset classification," 8th International Conference on Computing in Engineering and Technology (ICCET 2023), Hybrid Conference, Patna, India, 2023, pp. 240-247, https://doi.org/10.1049/icp.2023.1497

8. Shrayasi Datta., Choudhury, J.P. (2023). Multi-variant Statistical Tools and Soft Computing Methodology-Based Hybrid Model for Classification and Characterization of Yeast Data. In: Das, N., Binong, J., Krejcar, O., Bhattacharjee, D. (eds) Proceedings of International Conference on Data, Electronics and Computing. ICDEC 2022. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-99-1509-5_16

9. Suman Majumder, Sangram Ray, Chinmoy Ghosh, Shrayasi Datta, “Usage of Internet of Things in Home Automation”, A Review, Proceedings of CoMSO 2020, Modeling, Simulation and Optimization, SIST Series, ISSN 2190-3018, Springer, Vol 206. 2021

https://doi.org/10.1007/978-981-15-9829-6_5

10. Chinmoy Ghosh, Suman Majumder, Shrayasi Datta, Sangram Ray, Satyendranath Mondal, “Different EDGE Detection Techniques: A Review”, Proceedings of ESIC 2020, Electronic Systems and Intelligent Computing, LNEE Series, ISSN 1876-1100, Springer, Vol 686, pp 885-898, 2020. https://doi.org/10.1007/978-981-15-7031-5_84

11.  Shrayasi Datta, Pal Choudhury, J. (2020). A Comparative Study on the Performance of Fuzzy Logic, Particle Swarm Optimization, Firefly Algorithm, and Cuckoo Search Algorithm Using Residual Analysis. In: Dawn, S., Balas, V., Esposito, A., Gope, S. (eds) Intelligent Techniques and Applications in Science and Technology. ICIMSAT 2019. Learning and Analytics in Intelligent Systems, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-030-42363-6_106

12. Chinmoy Ghosh, Amit Parag, and Shrayasi Datta. "Different vulnerabilities and challenges of quantum key distribution protocol: a review.", International Journal of Advanced Research in Computer Science, Vol. 8. No. 8 (2017). pp 307-311. (UGC Care). https://doi.org/10.26483/ijarcs.v8i8.4680

13. Shrayasi Datta, J Palchoudhury, ”A Comparative Study on the Performance of Fuzzy Rule Base and Artificial Neural Network towards Classification of Yeast Data”, International Journal of Information Technology and Computer Science (MECS), Vol. 7, No. 5, April 2015. (Scopus). https://doi.org/10.5815/ijitcs.2015.05.06 

14. Shrayasi Datta, Dr. J Palchoudhury, ”A Framework for Selection of Membership Function Using Fuzzy Rule Base System for the Classification of Yeast Data”, Proceedings of International Conference on Emerging Trends in Computer Science and Information Technology (ETCSIT 2015), Department of Information Technology, Kalyani Government Engineering College, West Bengal, India, January 2015.

https://www.ijirset.com/upload/2016/etcsit/37_94_A%20Framework.pdf 

15. Shrayasi Datta, J Paulchoudhury, “A Framework for Selection of Neural Network Training Functions towards the Classification of Yeast Data”, Proceedings of National Conference on Computational Technologies-2015, Dept. of Computer Science & Application, University of North Bengal, India, February 2015. 

https://www.ijcseonline.org/pdf_spl_paper_view.php?paper_id=4&PID%204.pdf 

16. Shrayasi Datta and J. P. Choudhury, "A framework of multivariant statistical model-based tool using particle swarm optimization with fuzzy data for the classification of yeast data," 2016 International Conference on Microelectronics, Computing and Communications (MicroCom), Durgapur, India, 2016, pp. 1-7. https://doi.org/10.1109/MicroCom.2016.7522550 

17. Shrayasi Datta and J. P. Choudhury, "A Framework for the development of Multivariant 85 Statistical model based tool using Artificial Neural Network for the classification of Yeast Data”, EMERGING ISSUES IN BUSINESS AND INFORMATION MANAGEMENT: PROCEEDINGS OF ICBIM 2016, NITDGP, pp 85-106.,  ISBN: 978-81-945563-7-4