Design and Performance Evaluation of Smart Job First Multilevel Feedback Queue (SJFMLFQ) Scheduling Algorithm with Dynamic Smart Time Quantum. - Amit Kumar Gupta 002; Narendra Singh Yadav; Dinesh Goyal (Int. J. Multim. Data Eng. Manag., 2017)

Keyphrase Extraction using Markov Decision Process from Social Media Data. - Muskan Garg; Mukesh Kumar; Amit Kumar Gupta 002; Dinesh Goyal (DSMLAI, 2021)

ORR: Optimized Round Robin CPU Scheduling Algorithm. - Amit Kumar Gupta 002; Priya Mathur; Carlos M. Travieso-González; Muskan Garg; Dinesh Goyal (DSMLAI, 2021)

Mental Health Classification on Social-Media: Systematic Review. - Priya Mathur; Amit Kumar Gupta 002; Abhishek Dadhich (ICIMMI, 2022)

Predicting Thermal Conductivity in Nanofluids: A Comprehensive Study Using Artificial Neural Networks with Hyperparameter Tuning. - Amit Kumar Gupta 002; Priya Mathur; Sandeep Chaurasia (ICIMMI, 2023)

Integrating Traditional Analyses and Machine Learningfor Holistic Assessment of Groundwater Quality in theSirohi Region: A Case Study on Physico-ChemicalParameters and Predictive Models. - Priya Mathur; Rekha Rani Agarwal; Amit Kumar Gupta 002 (ICIMMI, 2023)

A Comprehensive Review of Artificial Intelligence Applications in the Fight against COVID19. - Mansi Sharma; Amit Kumar Gupta 002 (ICIMMI, 2023)

Design and Analysis of an Expert System for the Detection and Recognition of Criminal Faces. - Rishi Gupta; Amit Kumar Gupta 002; Deepak Panwar; Ashish Jain; Partha Chakraborty (J. Electr. Comput. Eng., 2023)

Soft computing approaches for prediction of specific heat capacity of hybrid nanofluids. - Priya Mathur; Amit Kumar Gupta 002; Deepak Panwar; Tarun Kumar Sharma (Expert Syst. J. Knowl. Eng., 2024)

A Computational Intelligence Framework Integrating Data Augmentation and Meta-Heuristic Optimization Algorithms for Enhanced Hybrid Nanofluid Density Prediction Through Machine and Deep Learning Paradigms. - Priya Mathur; Hammad Shaikh; Farhan Sheth; Dheeraj Kumar; Amit Kumar Gupta 002 (IEEE Access, 2025)

An advanced artificial intelligence framework integrating ensembled convolutional neural networks and Vision Transformers for precise soil classification with adaptive fuzzy logic-based crop recommendations. - Farhan Sheth; Priya Mathur; Amit Kumar Gupta 002; Sandeep Chaurasia (Eng. Appl. Artif. Intell., 2025)

DSENetk: An Efficient Deep Stacking Ensemble Approach for COVID-19 Induced Pneumonia Prediction Using Radiograph Images. - Sandeep Chaurasia; Amit Kumar Gupta 002; Poorvi Pankaj Tiwari; Ananya Smirti; Mahesh Jangid (SN Comput. Sci., 2025)