Journal Publications

International Journals

1. Bhandari, S., Pathak, S., Jain, S.A. et al. SACOENet: an advanced segment anything model enhanced with self-calibrated convolutions and optimized EfficientNetB7 for precise diabetic retinopathy detection. Network Modeling Analysis in Health Informatics and Bioinformatics, 14(1), Article 41 (2025). https://doi.org/10.1007/s13721-025-00530-4
2. Sharma, P., Agarwal, B., Yadav, G.S., Jain S. Vision transformer-based model for early detection of dysgraphia among school students. Microsystems Technologies (2024). https://doi.org/10.1007/s00542-024-05741-9
3. Bhandari, S., Pathak, S., Jain, S.A. et al. (2024). Improved diabetic retinopathy severity classification using squeeze-and-excitation and sparse lightweight multi-level attention u-net with transfer learning from xception. Acta Diabetol (2024). https://doi.org/10.1007/s00592-024-02341-x
4. Agarwal, B., Jain, S., Beladiya, K. et al., (2023). Early and Automated Diagnosis of Dysgraphia Using Machine Learning Approach. SN COMPUT. SCI. 4, 523. https://doi.org/10.1007/s42979-023-01884-0
5. Bhandari, S., Pathak, S. & Jain, S.A. (2022). A Literature Review of Early-Stage Diabetic Retinopathy Detection Using Deep Learning and Evolutionary Computing Techniques. Arch Computat Methods Eng (2022). https://doi.org/10.1007/s11831-022-09816-6
6. Jadwal, P.K., Pathak, S. & Jain, S. Analysis of clustering algorithms for credit risk evaluation using multiple correspondence analysis. Microsystems Technologies (May 2022). https://doi.org/10.1007/s00542-022-05310-y
7. Jadwal, P.K., Jain, S., Pathak, S. et al., (2022). Improved resampling algorithm through a modified oversampling approach based on spectral clustering and SMOTE. Microsystems Technologies , April 2022, https://doi.org/10.1007/s00542-022-05287-8
8. Rijwani, P., & Jain, S, (2022), Software Effort Estimation Development from Neural Networks to Deep Learning Approaches, Journal of Cases on Information Technology (JCIT) 24(4), 2022, DOI: 10.4018/JCIT.296715
9. Jadwal, P. K., Jain, S., & Agarwal, B. (2021). Clustering-based hybrid resampling techniques for social lending data. International Journal of Intelligent Systems Technologies and Applications, 20(3), 183-198. https://doi.org/10.1504/ijista.2021.120495
10. Dubey, A. K., Gupta, U., Jain, S. (2021). Medical Data Clustering and Classification Using TLBO and Machine Learning Algorithms. CMC-Computers, Materials & Continua, 70(3), pp.4523-4543. doi:10.32604/cmc.2022.021148
11. ... (other international journal entries from the CV are included)

National Journals

1. Pathak, S., & Jain, S., Related Issues in Cluster Based Routing Protocols for Mobile Ad-hoc Networks (MANETs), Shodh Darpan, JKLU Monograph Series 04/2014.
2. Jain, S. & Jain A, transforming education using e-learning, Indian Journal of Training and Development, Vol. XXXV No. 4 Oct-Dec 2005.
3. Jain, S. & Jain A, e-portfolio – A valuable learning and Assessment tool in higher education, University News, Vol. 44 No. 3, Mar27-April 02 2000.