Rajkumar Tekchandani

Orcid: 0000-0002-1776-0554

According to our database1, Rajkumar Tekchandani authored at least 19 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
SecBoost: Secrecy-Aware Deep Reinforcement Learning Based Energy-Efficient Scheme for 5G HetNets.
IEEE Trans. Mob. Comput., February, 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

DCNN-GA: A Deep Neural Net Architecture for Navigation of UAV in Indoor Environment.
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

Federated Learning for Air Quality Index Prediction using UAV Swarm Networks.
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
Code clone genealogy detection on e-health system using Hadoop.
Comput. Electr. Eng., 2017

2014
Selecting a set of appropriate metrics for detecting code clones.
Proceedings of the Seventh International Conference on Contemporary Computing, 2014


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