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Rakesh Kumar 0011
Person information
- affiliation: Central University of Haryana, Haryana, India
- affiliation (former): National Institute of Technical Teachers Training and Research, Chandigarh, India
Other persons with the same name
- Rakesh Kumar — disambiguation page
- Rakesh Kumar 0001 (aka: Rakesh "Teddy" Kumar) — SRI International, Center for Vision Technologies, Princeton, NJ, USA
- Rakesh Kumar 0002
— University of Illinois at Urbana-Champaign, IL, USA (and 1 more)
- Rakesh Kumar 0003
- Rakesh Kumar 0004
- Rakesh Kumar 0005 — Massachusetts Institute of Technology, Cambridge, USA
- Rakesh Kumar 0006
- Rakesh Kumar 0007 — Microsoft Corp, Redmond, Washington, USA (and 1 more)
- Rakesh Kumar 0008 — Madan Mohan Malaviya University of Technology, Gorakhpur, India
- Rakesh Kumar 0009
- Rakesh Kumar 0010
- Rakesh Kumar 0012
- Rakesh Kumar 0013 — Maharishi Markandeshwar University, Mullana, India
- Rakesh Kumar 0014 — Polytechnic University, Brooklyn, NY, USA
- Rakesh Kumar 0015
- Rakesh Kumar 0016 — University of Illinois Urbana-Champaign, Department of Electrical and Computer Engineering, USA
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2020 – today
- 2023
- [j9]Santosh Kumar Yadav, Rakesh Kumar:
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. 132(4): 2737-2792 (2023) - 2022
- [j8]Roopali Punj
Data dissemination approach using machine learning techniques for WBANs. Concurr. Comput. Pract. Exp. 34(5) (2022) - [j7]Santosh Kumar Yadav, Rakesh Kumar
Scalable Profit Optimized Incentive Mechanism for Resources in Cloudlet Based Mobile Edge Computing Framework. Wirel. Pers. Commun. 125(1): 159-207 (2022) - 2021
- [j6]Shweta Sharma
A survey on analysis and detection of Android ransomware. Concurr. Comput. Pract. Exp. 33(16) (2021) - [j5]Shweta Sharma
RansomDroid: Forensic analysis and detection of Android Ransomware using unsupervised machine learning technique. Digit. Investig. 37: 301168 (2021) - [j4]Shweta Sharma
An ensemble-based supervised machine learning framework for android ransomware detection. Int. Arab J. Inf. Technol. 18(3A): 422-429 (2021) - 2020
- [j3]Shweta Sharma, Naveen Kumar, Rakesh Kumar, C. Rama Krishna:
The Paradox of Choice: Investigating Selection Strategies for Android Malware Datasets Using a Machine-learning Approach. Commun. Assoc. Inf. Syst. 46: 26 (2020) - [j2]Roopali Punj, Rakesh Kumar:
Energy Efficient Dynamic Cluster Head and Routing Path Selection Strategy for WBANs. Wirel. Pers. Commun. 113(1): 33-58 (2020) - [c2]Shweta Sharma
Android Ransomware Detection using Machine Learning Techniques: A Comparative Analysis on GPU and CPU. ACIT 2020: 1-6
2010 – 2019
- 2019
- [j1]Roopali Punj, Rakesh Kumar:
Technological aspects of WBANs for health monitoring: a comprehensive review. Wirel. Networks 25(3): 1125-1157 (2019) - 2017
- [c1]Roopali Punj, Rakesh Kumar:
CHS-GA: An Approach for Cluster Head Selection Using Genetic Algorithm for WBANs. REV 2017: 28-35
Coauthor Index
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