Items where Author is "Mangayarkarasi, S."

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

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.

202541117100 (2025) ADAPTIVE AL FRAMEWORK FOR REAL-TIME CYBERSECURITY THREAT PREDICTION AND MITIGATION. 202541117100.

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

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. (2025) Integrating IoT with Deep Learning for Smart Home, Healthcare, and Industrial Automation. In: GLOBAL DIMENSIONS OF MULTIDISCIPLINARY RESEARCH AND INNOVATION: SCIENCE & HUMANITIES. FIRST ed. MERIMAX INTERNATIONAL PUBLICATIONS, pp. 283-287. ISBN 978-81-995443-1-4

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.

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.

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)

K, Sumathi. and Mangayarkarasi, S. (2024) Climacteric Defective Sapota Identification using Machine Learning-A Novel method in Segregating Latex Oozing and Rot using Augmented Images. In: 2024 5th International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India.

Sumathi, K. and Mangayarkarasi, S. (2024) Climacteric Fruit Skin Defect Region Segmentation by Boundary Identification Using Morphologically Enhanced Watershed. In: Lecture Notes in Networks and Systems ((LNNS,volume 1108)). Springer Nature Link, pp. 275-286.

K, Sumathi. and Mangayarkarasi, S. (2023) Classic Filter Identification in Gabor Filter Bank with Quality Metrics to Identify Defects on Fruit Peel. In: 2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC), Tumkur, India.

Vichitra, P. and Mangayarkarasi, S. (2021) Sleep Calibre Assess Model of IT Workers by Machine Learning Algorithms. In: 2021 4th International Conference on Computing and Communications Technologies (ICCCT), Chennai, India.

Mangayarkarasi, S. and Suganya, K. and kala, T.Sree (2019) Secure M-Banking using Steganography. International Journal of Innovative Technology and Exploring Engineering, 8 (11). pp. 2769-2772. ISSN 22783075

Saradha, Dr.S. and Priyanandhini, - and Mangayarkarasi, S. and Sreekala, T. (2019) Single Image Dehazing using Transmission Estimation. International Journal of Innovative Technology and Exploring Engineering, 8 (10). pp. 2852-2857. ISSN 22783075