Selecting a set of appropriate metrics for detecting code clones. - Geetika Bansal; Rajkumar Tekchandani (IC3, 2014)

Code clone genealogy detection on e-health system using Hadoop. - Rajkumar Tekchandani; Rajesh Kumar Bhatia; Maninder Singh (Comput. Electr. Eng., 2017)

Semantic code clone detection for Internet of Things applications using reaching definition and liveness analysis. - Rajkumar Tekchandani; Rajesh Kumar Bhatia; Maninder Singh (J. Supercomput., 2018)

Device-to-device content caching techniques in 5G: A taxonomy, solutions, and challenges. - Divya Prerna; Rajkumar Tekchandani; Neeraj Kumar 001 (Comput. Commun., 2020)

Federated Learning for Air Quality Index Prediction using UAV Swarm Networks. - Prateek Chhikara; Rajkumar Tekchandani; Neeraj Kumar 001; Sudeep Tanwar; Joel J. P. C. Rodrigues (GLOBECOM, 2021)

Federated learning-based aerial image segmentation for collision-free movement and landing. - Prateek Chhikara; Rajkumar Tekchandani; Neeraj Kumar 001; Sudeep Tanwar (DroneCom@MobiCom, 2021)

Artificial intelligence-enabled Internet of Things-based system for COVID-19 screening using aerial thermal imaging. - Ahmed Barnawi; Prateek Chhikara; Rajkumar Tekchandani; Neeraj Kumar 001; Bander A. Alzahrani (Future Gener. Comput. Syst., 2021)

Federated Learning Meets Human Emotions: A Decentralized Framework for Human-Computer Interaction for IoT Applications. - Prateek Chhikara; Prabhjot Singh; Rajkumar Tekchandani; Neeraj Kumar 001; Mohsen Guizani (IEEE Internet Things J., 2021)

DCNN-GA: A Deep Neural Net Architecture for Navigation of UAV in Indoor Environment. - Prateek Chhikara; Rajkumar Tekchandani; Neeraj Kumar 001; Vinay Chamola; Mohsen Guizani (IEEE Internet Things J., 2021)

Federated Learning and Autonomous UAVs for Hazardous Zone Detection and AQI Prediction in IoT Environment. - Prateek Chhikara; Rajkumar Tekchandani; Neeraj Kumar 001; Mohsen Guizani; Mohammad Mehedi Hassan (IEEE Internet Things J., 2021)

An Efficient Container Management Scheme for Resource-Constrained Intelligent IoT Devices. - Prateek Chhikara; Rajkumar Tekchandani; Neeraj Kumar 001; Mohammad S. Obaidat (IEEE Internet Things J., 2021)

An Energy-Efficient Cache Localization Technique for D2D Communication in IoT Environment. - Divya Prerna; Rajkumar Tekchandani; Neeraj Kumar 001; Sudeep Tanwar (IEEE Internet Things J., 2021)

Deep Learning enabled Channel Secrecy Codes for Physical Layer Security of UAVs in 5G and beyond Networks. - Himanshu Sharma; Neeraj Kumar 001; Rajkumar Tekchandani; Nazeeruddin Mohammad (ICC, 2022)

Secrecy Rate Maximization for THz-Enabled Femto Edge Users using Deep Reinforcement Learning in 6G. - Himanshu Sharma; Ishan Budhiraja; Neeraj Kumar 001; Rajkumar Tekchandani (INFOCOM Workshops, 2022)

Physical layer security using beamforming techniques for 5G and beyond networks: A systematic review. - Himanshu Sharma; Neeraj Kumar 001; Rajkumar Tekchandani (Phys. Commun., 2022)

Data dimensionality reduction techniques for Industry 4.0: Research results, challenges, and future research directions. - Prateek Chhikara; Nikhil Jain; Rajkumar Tekchandani; Neeraj Kumar 001 (Softw. Pract. Exp., 2022)

Mitigating Jamming Attack in 5G Heterogeneous Networks: A Federated Deep Reinforcement Learning Approach. - Himanshu Sharma; Neeraj Kumar 001; Rajkumar Tekchandani (IEEE Trans. Veh. Technol., 2023)

A CNN-based scheme for COVID-19 detection with emergency services provisions using an optimal path planning. - Ahmed Barnawi; Prateek Chhikara; Rajkumar Tekchandani; Neeraj Kumar 001; Mehrez Boulares (Multim. Syst., 2023)

Multilevel Ensemble Model for Load Prediction on Hosts in Fog Computing Environment. - Shabnam Bawa; Prashant Singh Rana; Rajkumar Tekchandani (Comput. Informatics, 2024)

SecBoost: Secrecy-Aware Deep Reinforcement Learning Based Energy-Efficient Scheme for 5G HetNets. - Himanshu Sharma; Neeraj Kumar 001; Rajkumar Tekchandani (IEEE Trans. Mob. Comput., 2024)

Adaptive federated learning scheme for recognition of malicious attacks in an IoT network. - Prateek Chhikara; Rajkumar Tekchandani; Neeraj Kumar 001 (Computing, 2024)

A Differentially Privacy Assisted Federated Learning Scheme to Preserve Data Privacy for IoMT Applications. - Ahmed Barnawi; Prateek Chhikara; Rajkumar Tekchandani; Neeraj Kumar 001; Bander A. Alzahrani (IEEE Trans. Netw. Serv. Manag., 2024)

Multivariate time series ensemble model for load prediction on hosts using anomaly detection techniques. - Shabnam Bawa; Prashant Singh Rana; Rajkumar Tekchandani (Clust. Comput., 2024)

Migration of containers on the basis of load prediction with dynamic inertia weight based PSO algorithm. - Shabnam Bawa; Prashant Singh Rana; Rajkumar Tekchandani (Clust. Comput., 2024)