Improving Sensing and Throughput of the Cognitive Radio Network. - J. Christopher Clement; D. S. Emmanuel; J. Jenkin Winston (Circuits Syst. Signal Process., 2015)

Enhancing the throughput of cognitive radio networks through malevolent presence. - J. Christopher Clement; D. S. Emmanuel (Comput. Electr. Eng., 2016)

Jettison the Defectives: A Robust Cooperative Spectrum Sensing Scheme in a Cognitive Radio Network. - J. Christopher Clement (Circuits Syst. Signal Process., 2018)

Deep learning based modulation classification for 5G and beyond wireless systems. - J. Christopher Clement; N. Indira; Ponnusamy Vijayakumar; Ramasamy Nandakumar (Peer-to-Peer Netw. Appl., 2021)

An IoT- Enabled Augmented Reality Framework for Plant Disease Detection. - Vijayakumar Ponnusamy; Sowmya Natarajan; Nandakumar Ramasamy; J. Christopher Clement; Prithiviraj Rajalingam; Makino Mitsunori (Rev. d'Intelligence Artif., 2021)

GRU-SVM Based Threat Detection in Cognitive Radio Network. - Evelyn Ezhilarasi I; J. Christopher Clement (Sensors, 2023)

A survey on cognitive radio network attack mitigation using machine learning and blockchain. - Evelyn Ezhilarasi I; J. Christopher Clement; Joseph M. Arul (EURASIP J. Wirel. Commun. Netw., 2023)

Throughput enhancement in a cognitive radio network using a reinforcement learning method. - J. Christopher Clement; K. C. Sriharipriya; P. Prakasam 001; Chandra Sekaran D. S (Multim. Tools Appl., 2024)

Enhanced synthetic generation of channel state information for millimeter-wave networks in 5G communication systems. - K. C. Sriharipriya; J. Christopher Clement; Gerardine Immaculate Mary; Chandrasekharan Natraj; R. Tharun Kumar; R. Gokul (Internet Technol. Lett., 2025)

Smart contract based attack detection in cognitive radio network. - Evelyn Ezhilarasi I; J. Christopher Clement (J. Intell. Fuzzy Syst., 2025)