Jitendra Kumar

About Jitendra Kumar

Jitendra Kumar, With an exceptional h-index of 19 and a recent h-index of 17 (since 2020), a distinguished researcher at National Institute of Technology, Tiruchirappalli, specializes in the field of Cloud Computing, Machine Learning, Evolutionary Optimization, Time Series Forecasting.

His recent articles reflect a diverse array of research interests and contributions to the field:

DeepCPD: deep learning with vision transformer for colorectal polyp detection

A Residual Learning Approach Towards the Diagnosis of Colorectal Disease Effectively

AERed: An Autoencoder-decoder Dimensionality Reduction Method for Wearable-Based Human Activity Recognition

Performance analysis of machine learning centered workload prediction models for cloud

An adaptive deep learning approach for stock price forecasting

Cloud Resource Usage Forecasting using Neural Network and Artificial Lizard Search Optimization

Privacy-preserving multi-keyword hybrid search over encrypted data in cloud

Advances in Cyber Security and Intelligent Analytics

Jitendra Kumar Information

University

Position

Assistant Professor

Citations(all)

1429

Citations(since 2020)

1371

Cited By

372

hIndex(all)

19

hIndex(since 2020)

17

i10Index(all)

23

i10Index(since 2020)

22

Email

University Profile Page

Google Scholar

Jitendra Kumar Skills & Research Interests

Cloud Computing

Machine Learning

Evolutionary Optimization

Time Series Forecasting

Top articles of Jitendra Kumar

Title

Journal

Author(s)

Publication Date

DeepCPD: deep learning with vision transformer for colorectal polyp detection

Multimedia Tools and Applications

Raseena TP

Jitendra Kumar

SR Balasundaram

2024/2/28

A Residual Learning Approach Towards the Diagnosis of Colorectal Disease Effectively

TP Raseena

Jitendra Kumar

SR Balasundaram

2023/12/7

AERed: An Autoencoder-decoder Dimensionality Reduction Method for Wearable-Based Human Activity Recognition

IEEE Sensors Journal

Hong-Ning Dai

Jitendra Kumar

Om Jee Pandey

2023/10/24

Performance analysis of machine learning centered workload prediction models for cloud

IEEE Transactions on Parallel and Distributed Systems

Deepika Saxena

Jitendra Kumar

Ashutosh Kumar Singh

Stefan Schmid

2023/1/30

An adaptive deep learning approach for stock price forecasting

Reshma MO

Jitendra Kumar

Abhishek Verma

2022

Cloud Resource Usage Forecasting using Neural Network and Artificial Lizard Search Optimization

Sanjeev Vijaykumar

Jitendra Kumar

2022

Privacy-preserving multi-keyword hybrid search over encrypted data in cloud

Journal of Ambient Intelligence and Humanized Computing

Niharika Singh

Jitendra Kumar

Ashutosh Kumar Singh

Anand Mohan

2022/5/23

Advances in Cyber Security and Intelligent Analytics

Abhishek Verma

Jitendra Kumar

Harimohan Gaur

Vrijendra Singh

Valentina Emilia Balas

2022

A study on Machine Learning Approaches for Player Performance and Match Results Prediction

arXiv preprint arXiv:2108.10125

Harsh Mittal

Deepak Rikhari

Jitendra Kumar

Ashutosh Kumar Singh

2021/8/23

A secure and multiobjective virtual machine placement framework for cloud data center

IEEE Systems Journal

Deepika Saxena

Ishu Gupta

Jitendra Kumar

Ashutosh Kumar Singh

Xiaoqing Wen

2021/7/20

A Quantum Approach Towards the Adaptive Prediction of Cloud Workloads

IEEE Transactions on Parallel and Distributed Systems

Ashutosh Kumar Singh

Deepika Saxena

Jitendra Kumar

Vrinda Gupta

2021/5/11

Performance evaluation of metaheuristics algorithms for workload prediction in cloud environment

Applied Soft Computing

Jitendra Kumar

Ashutosh Kumar Singh

2021/12/1

Machine learning for cloud management

Jitendra Kumar

Ashutosh Kumar Singh

Anand Mohan

Rajkumar Buyya

2021/11/25

Credit card fraud detection using machine learning: a study

arXiv preprint arXiv:2010.06479

Yvan Lucas

Johannes Jurgovsky

2020/10/13

Decomposition based cloud resource demand prediction using extreme learning machines

Journal of Network and Systems Management

Jitendra Kumar

Ashutosh Kumar Singh

2020

Cloud datacenter workload estimation using error preventive time series forecasting models

Cluster Computing

Jitendra Kumar

Ashutosh Kumar Singh

2020

BiPhase adaptive learning based neural network model for cloud datacenter workload forecasting

Soft Computing

Jitendra Kumar

Deepika Saxena

Ashutosh Kumar Singh

Anand Mohan

2020/10

Adaptive learning based prediction framework for cloud datacenter networks’ workload anticipation

Journal of Information Science and Engineering

Jitendra Kumar

Ashutosh Kumar Singh

2020

Self directed learning based workload forecasting model for cloud resource management

Information Sciences

Jitendra Kumar

Ashutosh Kumar Singh

Rajkumar Buyya

2020/7

Resource-efficient load-balancing framework for cloud data center networks

ETRI Journal

Jitendra Kumar

Ashutosh Kumar Singh

Anand Mohan

2020

See List of Professors in Jitendra Kumar University(National Institute of Technology, Tiruchirappalli)

Co-Authors

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