Tuning of a PID Controller using Soft Computing Methodologies Applied to Moisture Control in Paper Machine. - B. Nagaraj; Ponnusamy Vijayakumar (Intell. Autom. Soft Comput., 2012)

Energy Efficient Spectrum Sensing and Accessing Scheme for Zigbee Cognitive Networks. - Slitta Maria Joseph; P. Vijayakumar 001 (Int. J. Online Eng., 2014)

Wide Band Full Duplex Spectrum Sensing with Self-Interference Cancellation-An Efficient SDR Implementation. - Ponnusamy Vijayakumar; S. Malarvizhi (Mob. Networks Appl., 2017)

Green Spectrum Sharing: Genetic Algorithm Based SDR Implementation. - Ponnusamy Vijayakumar; S. Malarvizhi (Wirel. Pers. Commun., 2017)

Fuzzy Logic Based Decision System for Context Aware Cognitive Waveform Generation. - Ponnusamy Vijayakumar; S. Malarvizhi (Wirel. Pers. Commun., 2017)

Hardware Impairment Detection and Prewhitening on MIMO Precoder for Spectrum Sharing. - Ponnusamy Vijayakumar; S. Malarvihi (Wirel. Pers. Commun., 2017)

Design of a TAS-STBC-ESM(F) Transceiver and Performance Analysis for 20 bpcu. - Arumbu Vanmathi Neduncheran; Malarvizhi Subramani; Vijayakumar Ponnusamy (IEEE Access, 2018)

Primary user emulation attack mitigation using neural network. - Vijayakumar Ponnusamy; Kottilingam Kottursamy; T. Karthick; M. B. Mukesh Krishnan; Malathi Devarajan; Tariq Ahamed Ahanger (Comput. Electr. Eng., 2020)

Enhancement of fraternal K-median algorithm with CNN for high dropout probabilities to evolve optimal time-complexity. - Nagaraj Balakrishnan; Arunkumar Rajendran; K. Nisi; Ponnusamy Vijayakumar (Clust. Comput., 2020)

Evaluating One Stage Detector Architecture of Convolutional Neural Network for Threat Object Detection Using X-Ray Baggage Security Imaging. - Malarvizhi Subramani; Kayalvizhi Rajaduari; Siddhartha Dhar Choudhury; Anita Topkar; Vijayakumar Ponnusamy (Rev. d'Intelligence Artif., 2020)

Hybrid renewable energy systems for power flow management in smart grid using an efficient hybrid technique. - Kumaravel Sureshkumar; Vijayakumar Ponnusamy (Trans. Inst. Meas. Control, 2020)

AP Switch ON/OFF strategy in Green Cell-Free massive MIMO Based Radio Stripe Network. - Aman Kumar Mishra; P. Vijayakumar 001 (ICCCSP, 2021)

Development of Spectroscopic Sensor System for an IoT Application of Adulteration Identification on Milk Using Machine Learning. - Natarajan Sowmya; Vijayakumar Ponnusamy (IEEE Access, 2021)

DNN-based distributed sequential uplink processing in cell-free massive MIMO based on radio stripes. - Aman Kumar Mishra; Vijayakumar Ponnusamy (IET Networks, 2021)

Analytical outage and coverage performance analysis of cell-free massive MIMO system based on radio stripe. - Aman Kumar Mishra; Vijayakumar Ponnusamy (Int. J. Commun. Syst., 2021)

Deep Belief Network enhanced intrusion detection system to prevent security breach in the Internet of Things. - Nagaraj Balakrishnan; Arunkumar Rajendran; Danilo Pelusi; Vijayakumar Ponnusamy (Internet Things, 2021)

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)

Optimization of the Convolution Operation to Accelerate Deep Neural Networks in FPGA. - Malathi Devendran; Indumathi Rajendran; Vijayakumar Ponnusamy; Diwakar R. Marur (Rev. d'Intelligence Artif., 2021)

Deep Learning-Based X-Ray Baggage Hazardous Object Detection - An FPGA Implementation. - Vijayakumar Ponnusamy; Diwakar R. Marur; Deepa Dhanaskodi; Thangavel Palaniappan (Rev. d'Intelligence Artif., 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)

A lightweight permissioned distributed ledger for credentialing in higher education institutions. - Nemanja Zdravkovic; Nikola Dimitrijevic; Dusan J. Simjanovic; Vijayakumar Ponnusamy (eLearning, 2022)

Classification of Adulterated Food Grain Thermal Images Using Convolutional Neural Networks. - Vijayakumar Ponnusamy; Prateek Anand; Vishvak Bhatt (ICACIS, 2022)

Load - aware intelligent multiprocessor scheduler for time-critical cyber-physical system applications. - V. Padmajothi; J. L. Mazher Iqbal; Vijayakumar Ponnusamy (Comput. Electr. Eng., 2022)

Error Rate Analysis of Intelligent Reflecting Surfaces Aided Non-Orthogonal Multiple Access System. - Vasuki Andiappan; Vijayakumar Ponnusamy (Intell. Autom. Soft Comput., 2022)

A Design Framework for Smart Ration Shop Using Blockchain and IoT Technologies. - D. Malathi; Vijayakumar Ponnusamy; S. Saravanan; D. Deepa; Tariq Ahamed Ahanger (Intell. Autom. Soft Comput., 2022)

Deep Learning-Based Decoding and AP Selection for Radio Stripe Network. - Aman Kumar Mishra; Vijayakumar Ponnusamy (Intell. Autom. Soft Comput., 2022)

Rapid jamming detection approach based on fuzzy in WSN. - Pradeep Mohan Kumar Kanagasabapathy; Vijayakumar Kedalu Poornachary; Saravanan Murugan; Arivazhagan Natesan; Vijayakumar Ponnusamy (Int. J. Commun. Syst., 2022)

Deep Learning Enhanced NOMA System: A Survey on Future Scope and Challenges. - Vasuki Andiappan; Vijayakumar Ponnusamy (Wirel. Pers. Commun., 2022)

Secure Course Completion Credentialing Using Hyperledger Fabric. - Stefan Gogic; Nemanja Zdravkovic; Emilija Kisic; Ponnusamy Vijayakumar (BISEC, 2023)

Hierarchical Decoding Mechanism for Interference Cancellation in Full-Duplex Intelligent Reflecting Surfaces Aided Non-Orthogonal Multiple Access System. - Vasuki Andiappan; Vijayakumar Ponnusamy (IEEE Access, 2023)

Detection of Diabetic Retinopathy from Retinal Images Using DenseNet Models. - R. Nandakumar; P. Saranya; Vijayakumar Ponnusamy; Subhashree Hazra; Antara Gupta (Comput. Syst. Sci. Eng., 2023)

LSTM Based Spectrum Prediction for Real-Time Spectrum Access for IoT Applications. - R. Nandakumar; Vijayakumar Ponnusamy; Aman Kumar Mishra (Intell. Autom. Soft Comput., 2023)

Optimal ElGamal Encryption with Hybrid Deep-Learning-Based Classification on Secure Internet of Things Environment. - Chinnappa Annamalai; Chellavelu Vijayakumaran; Vijayakumar Ponnusamy; Hyunsung Kim 001 (Sensors, 2023)

Comprehensive Analysis of IoT Security Concerns and Mitigation Strategies Based on the Influence of Current Trends. - Bhavani Adikesavan; Vijayakumar Ponnusamy; Suad Suljovic; Petar Pejic; Nemanja Zdravkovic (BISEC, 2024)

Real-Time Error Analysis of Exercise Posture for Musculoskeletal Disorder - A Machine Vision Approach (short paper). - Dilliraj Ekambaram; Vijayakumar Ponnusamy (BISEC, 2024)

Rice quality analysis using thermal images and Deep learning algorithm (short paper). - Sowmya Natarajan; Vijayakumar Ponnusamy (BISEC, 2024)

Machine Learning-Driven Anomaly Detection for Enhanced IoT Networks Security. - Vijayakumar Ponnusamy; Siddharth Tiwari; Abhinav Sinha; Emilija Kisic (BISEC, 2024)

Learning Data Visualization in Python Utilizing an Autograding and Feedback System. - Nikola Dimitrijevic; Nemanja Zdravkovic; Vijayakumar Ponnusamy (eLearning, 2024)

Genetic Algorithm and the Kruskal-Wallis H-Test-Based Trainer Selection Federated Learning for IoT Security. - Adikesavan Bhavani; Vijayakumar Ponnusamy (IEEE Access, 2024)

An Integrated Federated Machine Learning and Blockchain Framework With Optimal Miner Selection for Reliable DDOS Attack Detection. - D. Saveetha; G. Maragatham; Vijayakumar Ponnusamy; Nemanja Zdravkovic (IEEE Access, 2024)

Real-time AI-assisted visual exercise pose correctness during rehabilitation training for musculoskeletal disorder. - Dilliraj Ekambaram; Vijayakumar Ponnusamy (J. Real Time Image Process., 2024)

Spark Booster-An Optimized IoT Architecture for Energy Sector Delving Predictive Analysis on Energy Usage With Stochastic Monte Carlo Method. - S. Delsi Robinsha; B. Amutha; Vijayakumar Ponnusamy (IEEE Access, 2025)