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Jitendra Kumar 0003
Person information
- affiliation: National Institute of Technology Tiruchirappalli, Department of Computer Applications, India
- affiliation (PhD 2019): National Institute of Technology, Kurukshetra, India
Other persons with the same name
- Jitendra Kumar — disambiguation page
- Jitendra Kumar 0001 — Oak Ridge National Laboratory, Oak Ridge, TN, USA
- Jitendra Kumar 0002 — Indian Institute of Technology Kharagpur, India
- Jitendra Kumar 0004 — Institute for Plasma Research, Gandhinagar, India
- Jitendra Kumar 0005 — Netaji Subhas University of Technology, Dwarka, India
- Jitendra Kumar 0006 — Indian Institute of Technology Dhanbad (Indian School of Mines), India
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2020 – today
- 2024
- [j16]Ashutosh Kumar Singh, Jitendra Kumar, Deepika Saxena, Athanasios V. Vasilakos:
Introduction to the special section on eXplainable Artificial Intelligence (XAI): Methods, Applications, and Challenges (VSI-xai). Comput. Electr. Eng. 120: 109630 (2024) - [j15]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): 261-274 (2024) - [j14]T. P. Raseena, Jitendra Kumar, S. R. Balasundaram:
DeepCPD: deep learning with vision transformer for colorectal polyp detection. Multim. Tools Appl. 83(32): 78183-78206 (2024) - [j13]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): 452 (2024) - [i6]Kishu Gupta, Deepika Saxena, Pooja Rani, Jitendra Kumar, Aaisha Makkar, Ashutosh Kumar Singh, Chung-Nan Lee:
An Intelligent Quantum Cyber-Security Framework for Healthcare Data Management. CoRR abs/2410.03217 (2024) - 2023
- [j12]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): 1313-1330 (2023) - [c2]T. P. Raseena, Jitendra Kumar, S. R. Balasundaram:
A Residual Learning Approach Towards the Diagnosis of Colorectal Disease Effectively. RTIP2R (2) 2023: 160-172 - [i5]Deepika Saxena, Jitendra Kumar, Ashutosh Kumar Singh, Stefan Schmid:
Performance Analysis of Machine Learning Centered Workload Prediction Models for Cloud. CoRR abs/2302.02452 (2023) - 2022
- [j11]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): 3163-3174 (2022) - [i4]Ashutosh Kumar Singh, Deepika Saxena, Jitendra Kumar, Vrinda Gupta:
A Quantum Approach Towards the Adaptive Prediction of Cloud Workloads. CoRR abs/2211.14619 (2022) - 2021
- [j10]Jitendra Kumar, Ashutosh Kumar Singh:
Performance evaluation of metaheuristics algorithms for workload prediction in cloud environment. Appl. Soft Comput. 113(Part): 107895 (2021) - [j9]Jitendra Kumar, Ashutosh Kumar Singh, Rajkumar Buyya:
Self directed learning based workload forecasting model for cloud resource management. Inf. Sci. 543: 345-366 (2021) - [j8]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): 2893-2905 (2021) - [j7]Jitendra Kumar, Ashutosh Kumar Singh:
Performance Assessment of Time Series Forecasting Models for Cloud Datacenter Networks' Workload Prediction. Wirel. Pers. Commun. 116(3): 1949-1969 (2021) - [i3]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 abs/2107.13502 (2021) - [i2]Pooja Tiwari, Simran Mehta, Nishtha Sakhuja, Jitendra Kumar, Ashutosh Kumar Singh:
Credit Card Fraud Detection using Machine Learning: A Study. CoRR abs/2108.10005 (2021) - [i1]Harsh Mittal, Deepak Rikhari, Jitendra Kumar, Ashutosh Kumar Singh:
A study on Machine Learning Approaches for Player Performance and Match Results Prediction. CoRR abs/2108.10125 (2021) - 2020
- [j6]Jitendra Kumar, Ashutosh Kumar Singh:
Cloud datacenter workload estimation using error preventive time series forecasting models. Clust. Comput. 23(2): 1363-1379 (2020) - [j5]Jitendra Kumar, Ashutosh Kumar Singh, Rajkumar Buyya:
Ensemble learning based predictive framework for virtual machine resource request prediction. Neurocomputing 397: 20-30 (2020) - [j4]Jitendra Kumar, Ashutosh Kumar Singh:
Adaptive Learning based Prediction Framework for Cloud Datacenter Networks' Workload Anticipation. J. Inf. Sci. Eng. 36(5): 981-992 (2020) - [j3]Jitendra Kumar, Ashutosh Kumar Singh:
Decomposition Based Cloud Resource Demand Prediction Using Extreme Learning Machines. J. Netw. Syst. Manag. 28(4): 1775-1793 (2020) - [j2]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): 14593-14610 (2020)
2010 – 2019
- 2018
- [j1]Jitendra Kumar, Ashutosh Kumar Singh:
Workload prediction in cloud using artificial neural network and adaptive differential evolution. Future Gener. Comput. Syst. 81: 41-52 (2018) - 2013
- [c1]Jitendra Kumar, Lotika Singh, Sandeep Paul:
GPU based parallel cooperative Particle Swarm Optimization using C-CUDA: A case study. FUZZ-IEEE 2013: 1-8
Coauthor Index
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last updated on 2024-11-28 20:27 CET by the dblp team
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