NSGA-II-XGB: Meta-heuristic feature selection with XGBoost framework for diabetes prediction. - Aditya Gupta 003; Ishwari Singh Rajput; Gunjan; Vibha Jain; Soni Chaurasia (Concurr. Comput. Pract. Exp., 2022)

Cybertwin-driven resource allocation using deep reinforcement learning in 6G-enabled edge environment. - Vibha Jain; Bijendra Kumar; Aditya Gupta 003 (J. King Saud Univ. Comput. Inf. Sci., 2022)

Stacking Ensemble-Based Intelligent Machine Learning Model for Predicting Post-COVID-19 Complications. - Aditya Gupta 003; Vibha Jain; Amritpal Singh (New Gener. Comput., 2022)

An Intelligent Healthcare Cyber Physical Framework for Encephalitis Diagnosis Based on Information Fusion and Soft-Computing Techniques. - Aditya Gupta 003; Amritpal Singh (New Gener. Comput., 2022)

Prediction Framework on Early Urine Infection in IoT-Fog Environment Using XGBoost Ensemble Model. - Aditya Gupta 003; Amritpal Singh (Wirel. Pers. Commun., 2023)

A Comprehensive Survey on Cyber-Physical Systems Towards Healthcare 4.0. - Aditya Gupta 003; Amritpal Singh (SN Comput. Sci., 2023)

Healthcare 4.0: recent advancements and futuristic research directions. - Aditya Gupta 003; Amritpal Singh (Wirel. Pers. Commun., 2023)

EDL-NSGA-II: Ensemble deep learning framework with NSGA-II feature selection for heart disease prediction. - Aditya Gupta 003; Amritpal Singh (Expert Syst. J. Knowl. Eng., 2023)