Rajkumar Tekchandani
Orcid: 0000-0002-1776-0554
According to our database1,
Rajkumar Tekchandani
authored at least 24 papers
between 2014 and 2024.
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Bibliography
2024
Migration of containers on the basis of load prediction with dynamic inertia weight based PSO algorithm.
Clust. Comput., December, 2024
Multivariate time series ensemble model for load prediction on hosts using anomaly detection techniques.
Clust. Comput., November, 2024
A Differentially Privacy Assisted Federated Learning Scheme to Preserve Data Privacy for IoMT Applications.
IEEE Trans. Netw. Serv. Manag., August, 2024
Adaptive federated learning scheme for recognition of malicious attacks in an IoT network.
Computing, April, 2024
SecBoost: Secrecy-Aware Deep Reinforcement Learning Based Energy-Efficient Scheme for 5G HetNets.
IEEE Trans. Mob. Comput., February, 2024
Comput. Informatics, 2024
2023
A CNN-based scheme for COVID-19 detection with emergency services provisions using an optimal path planning.
Multim. Syst., June, 2023
Mitigating Jamming Attack in 5G Heterogeneous Networks: A Federated Deep Reinforcement Learning Approach.
IEEE Trans. Veh. Technol., February, 2023
2022
Data dimensionality reduction techniques for Industry 4.0: Research results, challenges, and future research directions.
Softw. Pract. Exp., 2022
Physical layer security using beamforming techniques for 5G and beyond networks: A systematic review.
Phys. Commun., 2022
Secrecy Rate Maximization for THz-Enabled Femto Edge Users using Deep Reinforcement Learning in 6G.
Proceedings of the IEEE INFOCOM 2022, 2022
Deep Learning enabled Channel Secrecy Codes for Physical Layer Security of UAVs in 5G and beyond Networks.
Proceedings of the IEEE International Conference on Communications, 2022
2021
An Energy-Efficient Cache Localization Technique for D2D Communication in IoT Environment.
IEEE Internet Things J., 2021
An Efficient Container Management Scheme for Resource-Constrained Intelligent IoT Devices.
IEEE Internet Things J., 2021
Federated Learning and Autonomous UAVs for Hazardous Zone Detection and AQI Prediction in IoT Environment.
IEEE Internet Things J., 2021
IEEE Internet Things J., 2021
Federated Learning Meets Human Emotions: A Decentralized Framework for Human-Computer Interaction for IoT Applications.
IEEE Internet Things J., 2021
Artificial intelligence-enabled Internet of Things-based system for COVID-19 screening using aerial thermal imaging.
Future Gener. Comput. Syst., 2021
Federated learning-based aerial image segmentation for collision-free movement and landing.
Proceedings of the DroneCom '21: Proceedings of the 4th ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond, 2021
Proceedings of the IEEE Global Communications Conference, 2021
2020
Device-to-device content caching techniques in 5G: A taxonomy, solutions, and challenges.
Comput. Commun., 2020
2018
Semantic code clone detection for Internet of Things applications using reaching definition and liveness analysis.
J. Supercomput., 2018
2017
Comput. Electr. Eng., 2017
2014
Proceedings of the Seventh International Conference on Contemporary Computing, 2014