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ORCIDRajkumar Tekchandani
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2020 – today
- 2024
[j18]Shabnam Bawa, Prashant Singh Rana, Rajkumar Tekchandani:
Multivariate time series ensemble model for load prediction on hosts using anomaly detection techniques. Clust. Comput. 27(8): 10993-11016 (2024)- [j17]Shabnam Bawa, Prashant Singh Rana, Rajkumar Tekchandani:
Migration of containers on the basis of load prediction with dynamic inertia weight based PSO algorithm. Clust. Comput. 27(10): 14585-14609 (2024) - [j16]Prateek Chhikara
, Rajkumar Tekchandani, Neeraj Kumar:
Adaptive federated learning scheme for recognition of malicious attacks in an IoT network. Computing 106(4): 1177-1192 (2024) - [j15]Himanshu Sharma, Neeraj Kumar, Rajkumar Tekchandani:
SecBoost: Secrecy-Aware Deep Reinforcement Learning Based Energy-Efficient Scheme for 5G HetNets. IEEE Trans. Mob. Comput. 23(2): 1401-1415 (2024) - [j14]Ahmed Barnawi, Prateek Chhikara, Rajkumar Tekchandani, Neeraj Kumar, Bander A. Alzahrani:
A Differentially Privacy Assisted Federated Learning Scheme to Preserve Data Privacy for IoMT Applications. IEEE Trans. Netw. Serv. Manag. 21(4): 4686-4700 (2024) - 2023
- [j13]Ahmed Barnawi, Prateek Chhikara, Rajkumar Tekchandani, Neeraj Kumar, Mehrez Boulares:
A CNN-based scheme for COVID-19 detection with emergency services provisions using an optimal path planning. Multim. Syst. 29(3): 1683-1697 (2023) - [j12]Himanshu Sharma, Neeraj Kumar, Rajkumar Tekchandani:
Mitigating Jamming Attack in 5G Heterogeneous Networks: A Federated Deep Reinforcement Learning Approach. IEEE Trans. Veh. Technol. 72(2): 2439-2452 (2023) - 2022
- [j11]Himanshu Sharma, Neeraj Kumar, Rajkumar Tekchandani:
Physical layer security using beamforming techniques for 5G and beyond networks: A systematic review. Phys. Commun. 54: 101791 (2022) - [j10]Prateek Chhikara, Nikhil Jain, Rajkumar Tekchandani, Neeraj Kumar:
Data dimensionality reduction techniques for Industry 4.0: Research results, challenges, and future research directions. Softw. Pract. Exp. 52(3): 658-688 (2022) - [c5]Himanshu Sharma, Neeraj Kumar, Rajkumar Tekchandani, Nazeeruddin Mohammad:
Deep Learning enabled Channel Secrecy Codes for Physical Layer Security of UAVs in 5G and beyond Networks. ICC 2022: 1-6 - [c4]Himanshu Sharma, Ishan Budhiraja, Neeraj Kumar, Rajkumar Tekchandani:
Secrecy Rate Maximization for THz-Enabled Femto Edge Users using Deep Reinforcement Learning in 6G. INFOCOM Workshops 2022: 1-6 - 2021
- [j9]Ahmed Barnawi, Prateek Chhikara, Rajkumar Tekchandani, Neeraj Kumar, Bander A. Alzahrani:
Artificial intelligence-enabled Internet of Things-based system for COVID-19 screening using aerial thermal imaging. Future Gener. Comput. Syst. 124: 119-132 (2021) - [j8]Prateek Chhikara, Rajkumar Tekchandani, Neeraj Kumar, Vinay Chamola, Mohsen Guizani:
DCNN-GA: A Deep Neural Net Architecture for Navigation of UAV in Indoor Environment. IEEE Internet Things J. 8(6): 4448-4460 (2021) - [j7]Divya Prerna, Rajkumar Tekchandani, Neeraj Kumar, Sudeep Tanwar:
An Energy-Efficient Cache Localization Technique for D2D Communication in IoT Environment. IEEE Internet Things J. 8(6): 4816-4829 (2021) - [j6]Prateek Chhikara, Prabhjot Singh, Rajkumar Tekchandani, Neeraj Kumar, Mohsen Guizani:
Federated Learning Meets Human Emotions: A Decentralized Framework for Human-Computer Interaction for IoT Applications. IEEE Internet Things J. 8(8): 6949-6962 (2021) - [j5]Prateek Chhikara, Rajkumar Tekchandani, Neeraj Kumar, Mohammad S. Obaidat:
An Efficient Container Management Scheme for Resource-Constrained Intelligent IoT Devices. IEEE Internet Things J. 8(16): 12597-12609 (2021) - [j4]Prateek Chhikara, Rajkumar Tekchandani, Neeraj Kumar, Mohsen Guizani, Mohammad Mehedi Hassan:
Federated Learning and Autonomous UAVs for Hazardous Zone Detection and AQI Prediction in IoT Environment. IEEE Internet Things J. 8(20): 15456-15467 (2021) - [c3]Prateek Chhikara, Rajkumar Tekchandani, Neeraj Kumar, Sudeep Tanwar, Joel J. P. C. Rodrigues:
Federated Learning for Air Quality Index Prediction using UAV Swarm Networks. GLOBECOM 2021: 1-6 - [c2]Prateek Chhikara, Rajkumar Tekchandani, Neeraj Kumar, Sudeep Tanwar:
Federated learning-based aerial image segmentation for collision-free movement and landing. DroneCom@MobiCom 2021: 13-18 - 2020
- [j3]Divya Prerna, Rajkumar Tekchandani, Neeraj Kumar:
Device-to-device content caching techniques in 5G: A taxonomy, solutions, and challenges. Comput. Commun. 153: 48-84 (2020)
2010 – 2019
- 2018
- [j2]Rajkumar Tekchandani, Rajesh Kumar Bhatia, Maninder Singh:
Semantic code clone detection for Internet of Things applications using reaching definition and liveness analysis. J. Supercomput. 74(9): 4199-4226 (2018) - 2017
- [j1]Rajkumar Tekchandani, Rajesh Kumar Bhatia, Maninder Singh:
Code clone genealogy detection on e-health system using Hadoop. Comput. Electr. Eng. 61: 15-30 (2017) - 2014
- [c1]Geetika Bansal, Rajkumar Tekchandani:
Selecting a set of appropriate metrics for detecting code clones. IC3 2014: 484-488
Coauthor Index
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last updated on 2024-10-10 22:19 CEST by the dblp team
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