GPU based parallel cooperative Particle Swarm Optimization using C-CUDA: A case study. - Jitendra Kumar 003; Lotika Singh; Sandeep Paul (FUZZ-IEEE, 2013)

Workload prediction in cloud using artificial neural network and adaptive differential evolution. - Jitendra Kumar 003; Ashutosh Kumar Singh 001 (Future Gener. Comput. Syst., 2018)

Cloud datacenter workload estimation using error preventive time series forecasting models. - Jitendra Kumar 003; Ashutosh Kumar Singh 001 (Clust. Comput., 2020)

Ensemble learning based predictive framework for virtual machine resource request prediction. - Jitendra Kumar 003; Ashutosh Kumar Singh 001; Rajkumar Buyya (Neurocomputing, 2020)

Adaptive Learning based Prediction Framework for Cloud Datacenter Networks' Workload Anticipation. - Jitendra Kumar 003; Ashutosh Kumar Singh 001 (J. Inf. Sci. Eng., 2020)

Decomposition Based Cloud Resource Demand Prediction Using Extreme Learning Machines. - Jitendra Kumar 003; Ashutosh Kumar Singh 001 (J. Netw. Syst. Manag., 2020)

BiPhase adaptive learning-based neural network model for cloud datacenter workload forecasting. - Jitendra Kumar 003; Deepika Saxena; Ashutosh Kumar Singh 001; Anand Mohan (Soft Comput., 2020)

Performance evaluation of metaheuristics algorithms for workload prediction in cloud environment. - Jitendra Kumar 003; Ashutosh Kumar Singh 001 (Appl. Soft Comput., 2021)

A Secure and Multi-objective Virtual Machine Placement Framework for Cloud Data Centre. - Deepika Saxena; Ishu Gupta; Jitendra Kumar 003; Ashutosh Kumar Singh 001; Xiaoqing Wen (CoRR, 2021)

Credit Card Fraud Detection using Machine Learning: A Study. - Pooja Tiwari; Simran Mehta; Nishtha Sakhuja; Jitendra Kumar 003; Ashutosh Kumar Singh 001 (CoRR, 2021)

A study on Machine Learning Approaches for Player Performance and Match Results Prediction. - Harsh Mittal; Deepak Rikhari; Jitendra Kumar 003; Ashutosh Kumar Singh 001 (CoRR, 2021)

Self directed learning based workload forecasting model for cloud resource management. - Jitendra Kumar 003; Ashutosh Kumar Singh 001; Rajkumar Buyya (Inf. Sci., 2021)

A Quantum Approach Towards the Adaptive Prediction of Cloud Workloads. - Ashutosh Kumar Singh 001; Deepika Saxena; Jitendra Kumar 003; Vrinda Gupta (IEEE Trans. Parallel Distributed Syst., 2021)

Performance Assessment of Time Series Forecasting Models for Cloud Datacenter Networks' Workload Prediction. - Jitendra Kumar 003; Ashutosh Kumar Singh 001 (Wirel. Pers. Commun., 2021)

A Secure and Multiobjective Virtual Machine Placement Framework for Cloud Data Center. - Deepika Saxena; Ishu Gupta; Jitendra Kumar 003; Ashutosh Kumar Singh 001; Xiaoqing Wen (IEEE Syst. J., 2022)

A Residual Learning Approach Towards the Diagnosis of Colorectal Disease Effectively. - T. P. Raseena; Jitendra Kumar 003; S. R. Balasundaram 001 (RTIP2R (2), 2023)

Performance Analysis of Machine Learning Centered Workload Prediction Models for Cloud. - Deepika Saxena; Jitendra Kumar 003; Ashutosh Kumar Singh 001; Stefan Schmid 001 (IEEE Trans. Parallel Distributed Syst., 2023)

Introduction to the special section on eXplainable Artificial Intelligence (XAI): Methods, Applications, and Challenges (VSI-xai). - Ashutosh Kumar Singh 001; Jitendra Kumar 003; Deepika Saxena; Athanasios V. Vasilakos (Comput. Electr. Eng., 2024)

Privacy-preserving multi-keyword hybrid search over encrypted data in cloud. - Niharika Singh; Jitendra Kumar 003; Ashutosh Kumar Singh 001; Anand Mohan (J. Ambient Intell. Humaniz. Comput., 2024)

Exploring the Effectiveness of Deep Learning Architectures for Colorectal Polyp Detection: Performance Analysis and Insights. - T. P. Raseena; Jitendra Kumar 003; S. R. Balasundaram 001 (SN Comput. Sci., 2024)

DeepCPD: deep learning with vision transformer for colorectal polyp detection. - T. P. Raseena; Jitendra Kumar 003; S. R. Balasundaram 001 (Multim. Tools Appl., 2024)

An Intelligent Quantum Cyber-Security Framework for Healthcare Data Management. - Kishu Gupta; Deepika Saxena; Pooja Rani; Jitendra Kumar 003; Aaisha Makkar; Ashutosh Kumar Singh 001; Chung-Nan Lee (IEEE Trans Autom. Sci. Eng., 2025)

An Adaptive Evolutionary Neural Network Model for Load Management in Smart Grid Environment. - Jatinder Kumar; Deepika Saxena; Jitendra Kumar 003; Ashutosh Kumar Singh 001; Athanasios V. Vasilakos (IEEE Trans. Netw. Serv. Manag., 2025)

A hybrid neural network and cooperative PSO model for dynamic cloud workloads prediction. - Jitendra Kumar 003; Deepika Saxena; Jatinder Kumar; Abhilash Bhadoria; A. Anjali; Ashutosh Kumar Singh 001 (Computing, 2025)

Classified Dynamic Hierarchical Load Balancer for Cloud Data Centers. - Sakshi Patni; Jitendra Kumar 003; Deepika Saxena; Ashutosh Kumar Singh 001 (SN Comput. Sci., 2025)

An Intelligent Multi-Depot Vehicle Routing and Management Model for Smart Cities. - Deepika Saxena; Niharika Singh; Kishu Gupta; Abhishek Verma; Vinaytosh Mishra; Jitendra Kumar 003; Ishu Gupta; Sakshi Patni; Rishabh Gupta; Jatinder Kumar; Ashutosh Kumar Singh 001 (IEEE Trans. Intell. Transp. Syst., 2025)

A Comprehensively Adaptive Architectural Optimization-Ingrained Quantum Neural Network Model for Cloud Workloads Prediction. - Jitendra Kumar 003; Deepika Saxena; Kishu Gupta; Satyam Kumar; Ashutosh Kumar Singh 001 (CoRR, 2025)