Rakesh Kumar

Orcid: 0000-0002-4725-955X

Affiliations:
  • Central University of Haryana, Haryana, India
  • National Institute of Technical Teachers Training and Research, Chandigarh, India (former)


According to our database1, Rakesh Kumar authored at least 16 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Multi-attribute based double auction for virtual machine trading in federated cloud environment.
Clust. Comput., October, 2025

Dual attention-based CNN-LSTM framework for session-based recommendations.
Evol. Syst., September, 2025

Deep learning approaches to address cold start and long tail challenges in recommendation systems: a systematic review.
Multim. Tools Appl., February, 2025

Enhancing user experience: a content-based recommendation approach for addressing cold start in music recommendation.
J. Intell. Inf. Syst., February, 2025

Energy Efficient Resource Sharing in Trustworthy Federated Cloud Environment: A Bayesian Game and Double Auction Based Approach.
IEEE Trans. Serv. Comput., 2025

2023
EVACON-Rainsnow Computing: An Amalgamation of Cloud and Its Inherited Computing to Encourage End User for Both Localized and Globalized Remote Computing.
Wirel. Pers. Commun., October, 2023

2022
Scalable Profit Optimized Incentive Mechanism for Resources in Cloudlet Based Mobile Edge Computing Framework.
Wirel. Pers. Commun., 2022

Data dissemination approach using machine learning techniques for WBANs.
Concurr. Comput. Pract. Exp., 2022

2021
An ensemble-based supervised machine learning framework for android ransomware detection.
Int. Arab J. Inf. Technol., 2021

RansomDroid: Forensic analysis and detection of Android Ransomware using unsupervised machine learning technique.
Digit. Investig., 2021

A survey on analysis and detection of Android ransomware.
Concurr. Comput. Pract. Exp., 2021

2020
Energy Efficient Dynamic Cluster Head and Routing Path Selection Strategy for WBANs.
Wirel. Pers. Commun., 2020

The Paradox of Choice: Investigating Selection Strategies for Android Malware Datasets Using a Machine-learning Approach.
Commun. Assoc. Inf. Syst., 2020

Android Ransomware Detection using Machine Learning Techniques: A Comparative Analysis on GPU and CPU.
Proceedings of the 21st International Arab Conference on Information Technology, 2020

2019
Technological aspects of WBANs for health monitoring: a comprehensive review.
Wirel. Networks, 2019

2017
CHS-GA: An Approach for Cluster Head Selection Using Genetic Algorithm for WBANs.
Proceedings of the Online Engineering & Internet of Things, 2017


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