Jitendra Kumar

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 19

Top Topics

Autoregressive Conditional Heteroscedasticity

Forecasting Model

Top Venues

IEEE Trans. Parallel Distributed Syst.

J. Inf. Sci. Eng.

Future Gener. Comput. Syst.

Publications

Niharika Singh, Jitendra Kumar, Ashutosh Kumar Singh, Anand Mohan
Privacy-preserving multi-keyword hybrid search over encrypted data in cloud. J. Ambient Intell. Humaniz. Comput. 15 (1) (2024)
T. P. Raseena, Jitendra Kumar, S. R. Balasundaram
Exploring the Effectiveness of Deep Learning Architectures for Colorectal Polyp Detection: Performance Analysis and Insights. SN Comput. Sci. 5 (5) (2024)
Deepika Saxena, Jitendra Kumar, Ashutosh Kumar Singh, Stefan Schmid
Performance Analysis of Machine Learning Centered Workload Prediction Models for Cloud. CoRR (2023)
Deepika Saxena, Jitendra Kumar, Ashutosh Kumar Singh, Stefan Schmid
Performance Analysis of Machine Learning Centered Workload Prediction Models for Cloud. IEEE Trans. Parallel Distributed Syst. 34 (4) (2023)
Ashutosh Kumar Singh, Deepika Saxena, Jitendra Kumar, Vrinda Gupta
A Quantum Approach Towards the Adaptive Prediction of Cloud Workloads. CoRR (2022)
Deepika Saxena, Ishu Gupta, Jitendra Kumar, Ashutosh Kumar Singh, Xiaoqing Wen
A Secure and Multiobjective Virtual Machine Placement Framework for Cloud Data Center. IEEE Syst. J. 16 (2) (2022)
Deepika Saxena, Ishu Gupta, Jitendra Kumar, Ashutosh Kumar Singh, Xiaoqing Wen
A Secure and Multi-objective Virtual Machine Placement Framework for Cloud Data Centre. CoRR (2021)
Pooja Tiwari, Simran Mehta, Nishtha Sakhuja, Jitendra Kumar, Ashutosh Kumar Singh
Credit Card Fraud Detection using Machine Learning: A Study. CoRR (2021)
Jitendra Kumar, Ashutosh Kumar Singh
Performance evaluation of metaheuristics algorithms for workload prediction in cloud environment. Appl. Soft Comput. 113 (Part) (2021)
Ashutosh Kumar Singh, Deepika Saxena, Jitendra Kumar, Vrinda Gupta
A Quantum Approach Towards the Adaptive Prediction of Cloud Workloads. IEEE Trans. Parallel Distributed Syst. 32 (12) (2021)
Jitendra Kumar, Ashutosh Kumar Singh, Rajkumar Buyya
Self directed learning based workload forecasting model for cloud resource management. Inf. Sci. 543 (2021)
Jitendra Kumar, Ashutosh Kumar Singh
Performance Assessment of Time Series Forecasting Models for Cloud Datacenter Networks' Workload Prediction. Wirel. Pers. Commun. 116 (3) (2021)
Harsh Mittal, Deepak Rikhari, Jitendra Kumar, Ashutosh Kumar Singh
A study on Machine Learning Approaches for Player Performance and Match Results Prediction. CoRR (2021)
Jitendra Kumar, Ashutosh Kumar Singh
Decomposition Based Cloud Resource Demand Prediction Using Extreme Learning Machines. J. Netw. Syst. Manag. 28 (4) (2020)
Jitendra Kumar, Ashutosh Kumar Singh, Rajkumar Buyya
Ensemble learning based predictive framework for virtual machine resource request prediction. Neurocomputing 397 (2020)
Jitendra Kumar, Ashutosh Kumar Singh
Cloud datacenter workload estimation using error preventive time series forecasting models. Clust. Comput. 23 (2) (2020)
Jitendra Kumar, Ashutosh Kumar Singh
Adaptive Learning based Prediction Framework for Cloud Datacenter Networks' Workload Anticipation. J. Inf. Sci. Eng. 36 (5) (2020)
Jitendra Kumar, Deepika Saxena, Ashutosh Kumar Singh, Anand Mohan
BiPhase adaptive learning-based neural network model for cloud datacenter workload forecasting. Soft Comput. 24 (19) (2020)
Jitendra Kumar, Ashutosh Kumar Singh
Workload prediction in cloud using artificial neural network and adaptive differential evolution. Future Gener. Comput. Syst. 81 (2018)
Jitendra Kumar, Lotika Singh, Sandeep Paul
GPU based parallel cooperative Particle Swarm Optimization using C-CUDA: A case study. FUZZ-IEEE (2013)