All Publications

K. V. Kumar, D. P. Mohapatra, and Lov. Kumar,"Evaluating the indispensable aspect of data imbalance in software fault prediction with feature selection and variants of machine learning and ensemble techniques", Innovations in Systems and Software Engineering, vol.22, no.11, pp.1-16, Springer, June 2026, 10.1007/s11334-026-00638-4       Article

P. Kishore, S. K. Barisal, D. P. Mohapatra, and R. Mall,"An efficient blending model for classifying security-related software vulnerabilities into software development life cycle phases", Software Quality Journal, vol.34, no.2, pp.1-44, Springer, March 2026, 10.1007/s11219-026-09742-x       Article

A. Samantra and D. P. Mohapatra,"Adapt-mind: a cross-domain deep learning framework for mental health signal detection in shakespearean and social media texts", IEEE Transactions on Computational Social Systems, vol.13, pp.1-16, IEEE, February 2026, 10.1109/TCSS.2026.3654355       Article

P. Barik, P. Kishore, D. P. Mohapatra, and G. Nayak,"MMFL: Multi-modal software fault localizer using structural source code features", in AIP Conference Proceedings, vol.3388, no.1, pp.040010-1--040010-9, AIP Publishing, June 2026, 10.1063/5.0319338       Inproceedings

R. A. Sarfaraj, B. P. Gond, Md. Shahnawaz, and D. P. Mohapatra,"A novel deep learning framework with behavioral heatmap, for malware classification", in International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), pp.1-13, IEEE, January 2026, 10.1109/IITCEE67948.2026.11394575       Inproceedings

D. Deb, R. Dash, and D. P. Mohapatra,"MMHBC-Net: a multi-modal hybrid approach for breast cancer classification", Neural Computing and Applications, vol.37, pp.15469–15499, Springer 2025, 10.1007/s00521-025-11291-6       Article

P. Pant, L. K. Vashishtha, K. Chattejee, S. K. Sahu, and D. P. Mohapatra,"Empowering software security: leveraging machine learning for anomaly detection and threat prevention", Boosting Software Development Using Machine Learning, ch.10, vol.7, pp.217-251, Springer Nature Switzerland 2025, View Details       Inbook

Md. Shahnawaz, B. P. Gond, and D. P. Mohapatra,"Dynamic Malware Classification of Windows PE Files using CNNs and Greyscale Images Derived from Runtime API Call Argument Conversion", in 16th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IEEE 2025, View Details       Inproceedings

D. Deb, R. Dash, and D. P. Mohapatra,"Customized convolutional neural network with explainable AI for multimodal breast cancer detection", Sadhana, vol.50, no.130, Springer, June 2025, 10.1007/s12046-025-02795-x       Article

B. P. Gond, Md. S. Alam, and D. P. Mohapatra,"Capturing market volatility: a comparative analysis of IBM TinyTimeMixers, time series transformer, and ARIMA in nifty 50 forecasting", in 16th International IEEE Conference On Computing, Communication and Networking Technologies (ICCCNT), IEEE, July 2025, View Details       Inproceedings