Minimized feature overhead malware detection machine learning model employing MRMR-based ranking. - Priyanka Singh 004; Samir Kumar Borgohain; Lakhan Dev Sharma; Jayendra Kumar (Concurr. Comput. Pract. Exp., 2022)

Feed-Forward Deep Neural Network (FFDNN)-Based Deep Features for Static Malware Detection. - Priyanka Singh 004; Samir Kumar Borgohain; Achintya Kumar Sarkar; Jayendra Kumar; Lakhan Dev Sharma (Int. J. Intell. Syst., 2023)

Design of an Improved Method for Visual Rendering in the Metaverse Using CIEM and MSRANet. - Janapati Venkata Krishna; Priyanka Singh 004; Regonda Nagaraju; Setti Vidya Sagar Appaji; Attuluri Uday Kiran; K. Spandana (IEEE Access, 2025)

Eternal-Thing 3.0: Mixed-Mode SoC for Energy Harvesting System Towards Sustainable IoT. - Saswat Kumar Ram; Sanjeev Mani Yadav; Jayendra Kumar; Priyanka Singh 004; Banee Bandana Das (IEEE Access, 2025)

A machine learning-based approach for maximizing system profit in a power system by imbalance price curtailment. - Shreya Shree Das; Priyanka Singh 004; Jayendra Kumar; Subhojit Dawn; Anumoy Ghosh (Comput. Electr. Eng., 2025)

Optimized feature representation and selection for malware detection using portable executable headers and machine learning. - Priyanka Singh 004; Samir Kumar Borgohain; Jayendra Kumar (J. Comput. Virol. Hacking Tech., 2025)