[1] P. Moral, D. Mustafi, and S. K. Sahana, “PODBoost: an explainable AI model for polycystic ovarian syndrome detection using grey wolf-based feature selection approach,” Neural Computing and Applications, vol. 36, no. 30, pp. 18627–18644, Oct. 2024. doi: 10.1007/s00521-024-10171-9
[2] P. Moral, D. Mustafi, A. Mustafi, and S. K. Sahana, “CystNet: An AI driven model for PCOS detection using multilevel thresholding of ultrasound images,” Scientific Reports., vol. 14, no. 1, p. 25012, Oct. 2024. doi: 10.1038/s41598-024-75964-3 (Q1)
[3] P. Parasar, P. Moral, A. Srivastava, A. P. Krishna, R. Sharma, V. S. Rathore, A. Mustafi, A. P. Mishra, F. F. B. Hasher, and M. Zhran, “TeaNet: A Temporal Enhanced Attention Network for Climate-Resilient River Discharge Forecasting Under CMIP6 SSP585 Projections,” Sustainability, vol. 17, no. 9, p. 4231, 2025. doi: 10.3390/su17094231 (Q1)
[4] S. Padhy, S. Dash, N. Kumar, S. P. Singh, G. Kumar, and P. Moral, “Temporal Integration of ResNet Features with LSTM for Enhanced Skin Lesion Classification,” Results in Engineering, vol. 19, 104201, Jan. 2025. doi: 10.1016/j.rineng.2025.104201 (Q2)
[5] P. Moral and D. Mustafi, “Improving Performance of Ensemble Learners for Breast Cancer Detection Using Feature Engineering,” International Journal of Microsystems and IoT, vol. 1, no. 3, pp. 148–155, 2022. doi: 10.5281/zenodo.8354276
[6] N. Kumari, P. Moral, D. Mustafi, A. Mustafi, S. Anwar, and S. K. Sahana, “Deep Learning for Post-Hurricane Damage Detection with SAR-based Analysis using DenseNet201 and SVM,” Grenze Int. J. Eng. Technol. (GIJET), vol. 10, no. 2, pp. 576–582, Jun. 2024.
[7] P. Moral, D. Mustafi, and S. K. Sahana, “A two stage deep supervised learning model with inter-layer weight sharing for multi class medical image classification”, Discover Computing, vol. 28, 188, Aug 2025. doi: https://doi.org/10.1007/s10791-025-09713-z
[8] P. Parasar, P. Moral, A. Srivastava, A. P. Krishna, S Majumdar, R Bhattacharjee, AP. Mishra, D. Mustafi, VS. Rathore, R. Sharma, A. Mustafi. “Integrating genetic algorithms and machine learning for spatiotemporal groundwater potential zoning in fractured aquifers”, Journal of Hydrology: Regional Studies, vol. 62, pp. 102800, Dec, 2025, doi: https://doi.org/10.1016/j.ejrh.2025.102800
[9] P. Moral, D. Mustafi, and S. K. Sahana, “Detecting cervical cancer from pap smear images using e-transcoder based deep learning technique,” Progress in Artificial Intelligence, April. 2026. doi: https://doi.org/10.1007/s13748-026-00454-8
[10] P. Moral and D. Mustafi, “Evaluating the Effectiveness of Supervised Learning Models for Predicting Heart Disease,” in Proc. 1st DMIHER Int. Conf. on Artificial Intelligence in Education and Industry 4.0 (IDICAIEI), Nov. 2023, pp. 1–6. IEEE. doi: 10.1109/IDICAIEI58380.2023.10406658
[11] P. Moral, P. Parasar, N. R. Mukherjee, N. Kumari, A. P. Krishna, D. Mustafi, and A. Mustafi, “Forest Fire Forecasting leveraging MODIS Satellite Fire Data Using Machine Learning for Jharkhand State, India,” in IEEE India Geoscience and Remote Sensing Symposium (InGARSS), 2024, pp. 1–4. doi: 10.1109/InGARSS61818.2024.10984146
[12] P. Moral and D. Mustafi, “Evaluating the Performance of Tree-based Classifiers for the Task of Predicting Marginal and Acute Cardiovascular Diseases: A Comprehensive Review,” in Machine Learning in Biomedical & Health Informatics: Current Applications and Challenges (MLBHI), Apple Academic Press, 2025. doi: https://doi.org/10.1201/9781774919552