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Anwar, Rasiya and Mangayarkarasi, S. (2025) A review on the performance analysis of high-performance computing techniques in wireless sensor networks. In: INTERNATIONAL CONFERENCE ON MANUFACTURING, MATERIAL SCIENCE AND ENGINEERING: ICMMSE2024, 16–17 August 2024, Nalgonda, India.

Revathi, S and Mangayarkarasi, S. (2025) A Comprehensive Deep Learning Framework for Smart Home Appliance Load Monitoring and Energy Optimization. In: 7TH INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND SMART ENVIRONMENTS, 06/11/2025 TO 08/11/2025, Hammamet,Tunisia. (In Press)

Revathi, S and Mangayarkarasi, S (2026) ADAPTIVE TRUST-WEIGHTED FEDERATED GENERATIVE DEEP LEARNING FOR PRIVACY- PRESERVING INDUSTRIAL IOT SECURITY. In: 4th International Conference on Cybersecurity and Generative Artificial Intelligence (CyberGenAI’2026) In Association with Multimedia University, Malaysia & Majan University College, Oman, 13/03/2026, SRMIST, Ramapuram,CHENNAI.

Santhosh, M and Mangayarkarasi, S. (2025) A Smart IoT-Based Semantic Model for Sustainable Dairy Farming Enhancement using Solo Track Algorithm. International Journal of Environmental Sciences. pp. 2798-2807. ISSN 2229-7359

Revathi, S. and Mangayarkarasi, S. (2025) Deep Learning-Driven IoT Framework for Smart Home Appliance Load Monitoring and Energy Optimization. In: 2025 5th International Conference on Expert Clouds and Applications (ICOECA), Bengaluru, India.

Devika, S and Mangayarkarasi, S. (2026) Survey on Machine Learning Classifiers for Detecting Rheumatic Heart Disease (RHD) using the UCI Debrecen Dataset. Grenze International Journal of Engineering and Technology. pp. 4074-4078.

Mangayarkarasi, S. and Revathi, S (2025) DEEP LEARNING–BASED ENERGY OPTIMIZATION IN INDUSTRIAL IOT: A COMPARATIVE STUDY. In: DATA TO INTELLIGENCE: ROLE OF GENERATIVE AI IN SHAPING THE FUTURE (DIGISF’26), CHENNAI. (In Press)

Anwar, Rasiya and Mangayarkarasi, S. (2025) Secure and Energy-Efficient Wireless Sensor Networks through 5G Integration and Quantum Key Distribution. Indian Journal of Computer Science and Technology. pp. 222-229. ISSN 25835300

Aarthy, S and Mangayarkarasi, S. (2026) A Study of Concept for Predicting Myopia using Machine Learning. Grenze International Journal of Engineering and Technology.