A

Akash, B and Mohamed Asif, A and Neil Mathew Joseph, Renju and Gunaseelan, A M and Selvakumar, D and Santhosh, C (2025) FixFlo: Intelligent Predictive Maintenance and Maintenance Log Digitalization for Industrial Equipment. 2025 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET). pp. 1-6.

Archana, D and Vennila, A and Deeksha, R and Harsha, P and Neya, S (2025) Enhancing Diagnostic Precision in Oncology: A Machine Learning Approach for Tissue Sample Classification. 2025 International Conference on Computational Innovations and Engineering Sustainability (ICCIES). pp. 1-6.

Arivoli, S and Bavithra, K (2025) IoT-Based Predictive Maintenance in Smart Electric Vehicles for Enhanced Reliability and Sustainability. 2025 Second International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM). pp. 1-6.

Aswin Raksha, S and Shrickar Nagendra, Kumar and Leroy Samuel, P (2025) A Novel Framework for Autonomous Electric Vehicle Systems: 5G/6G Network Integration with Machine Learning and Multi-Access Edge Computing. 2025 Innovations in Power and Advanced Computing Technologies (i-PACT). pp. 1-7.

B

Baskaran, J (2025) Optimizing User Engagement in Social Media Platforms: A Machine Learning-Driven Analytical Framework. 2025 International Conference on Computational Innovations and Engineering Sustainability (ICCIES). pp. 1-6.

C

Chitra, V (2024) Enhancing Smart Grid Stability: Data-Driven Predictive Modeling in Distribution Systems. International Journal of Electrical and Electronics Research, 12 (2). pp. 623-631. ISSN 2347-470X

D

Deeksha, S and Kavin, M and Madhavan, S and Dharmarajan, V and Lubika, Palanisamy and Selvakumar, D (2025) Real-Time Detection of AI-Generated Voice Using Machine Learning and MATLAB Simulink. 2025 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET). pp. 1-6.

Divya, R and Vasanth Raj, P and Naveen Bharath, V (2025) A Machine Learning Approach for Driver Drowsiness System Based on Eye Aspect Ratio. 2025 Second International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM). pp. 1-6.

E

Elayaraja, S (2025) Machine learning-driven prediction and interpretation of air quality index in industrial environment. Asian Journal of Civil Engineering. ISSN 1563-0854

G

Gomathi, B (2024) Low global warming potential R1234yf in a mobile air-conditioning system: a study on performance prediction using different machine learning approaches. Journal of Thermal Analysis and Calorimetry, 149 (23). pp. 14415-14432. ISSN 1388-6150

Gomathi, B (2025) Machine learning-based performance and optimal refrigerant charge prediction for a split air conditioning system. Applied Thermal Engineering, 274: 126764. ISSN 13594311

Gomathy, B (2025) Optimized SMOTE for Imbalanced Data Handling in Machine Learning. 2025 3rd International Conference on Advancement in Computation & Computer Technologies (InCACCT). pp. 349-354.

Govinda Kumar, E and Suganya, G and Elenchezhiyan, M (2025) Stiction Detection of Pneumatic Control Valves: A Machine Learning Approach. 2025 Second International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM). pp. 1-6.

H

Hari Ragavan, B and Logeshwaran, J and Deepa, M and Thiru Murugan, A and Thanwanth, V G (2025) Machine Learning-Based Predictive Gas Leak Detection Using Pressure Pattern Recognition on ESP32. 2025 Second International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM). pp. 1-6.

Hemkiran, S and Harsith, S and Lakshana, G and Sunitha Nandhini, A (2025) Predictive Modeling of Renal Amyloidosis Using XGBoost: A Machine Learning Approach to Early Risk Estimation. 2025 International Conference on Next Generation Computing Systems (ICNGCS). pp. 1-8.

Hemkiran, S and Kartik, R and Rathan Aswath, S and Kabilan, K (2024) Computational Web Drug Discovery Application forSARS- Cov-2 Disease Using Predictive and Analytical Approach. 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS). pp. 2323-2328.

Hemkiran, S and Mohammad Mudasir, War and Aadhithiyan, K S and Kabilan, K (2024) Web-Based Patient Health Management System with Doctor Recommendations and Medicine Alternatives using Machine Learning. 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC). pp. 68-73.

Hemkiran, S and Prasanna Rahavendra, A and Anjhanna, A K (2022) Design of Automatic Credit Card Approval System Using Machine Learning. In: Artificial Intelligence and Technologies. Lecture Notes in Electrical Engineering (806). Springer, Singapore, pp. 1-9. ISBN 9789811664472

Hemkiran, S and Shirish, D S and Viswaa, G S (2025) Uncertainty-Aware Stock Price Forecasting with Gaussian Process Regression. 2025 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET). pp. 1-6.

I

Ilango, P (2023) A Performance Study of Prediction Models for Diabetes Prediction Using Machine Learning. In: Computational Methods and Data Engineering. Lecture Notes on Data Engineering and Communications Technologies (139). Springer, Singapore, pp. 41-53. ISBN 9789811930140

J

Jasper Flavia, J and Abhigeetha, K and Dharanika, V and Ashavikashini, K and Selvakumar, D (2025) Enhanced Smart Hearing Aid Simulation with Scene Classification and Frequency Compression. 2025 International Conference on Next Generation Computing Systems (ICNGCS). pp. 1-8.

Jayasanthi, M and Vismitha, V and Eunice Joshi, A P (2024) A Non-Invasive Approach for Hemoglobin Estimation. 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC). pp. 427-432.

Jisnu, S and Dharaneesh, J D and Krishneth, A and Lokesh, S (2024) Enhancing Agricultural Decision-Making: A Supervised Machine Learning Approach. 2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN). pp. 446-453.

K

Kala, I and Bhuvaneswari, P and Dharun, R and Dharshini, S (2023) Toddler Activity Analysis Using Machine Learning. 2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS). pp. 287-291.

Kala, I and Hariharan, K and Kavisri, S and Kaviyarasu, D (2023) Online Legal Literacy Platform. 2023 International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM). pp. 314-318.

Kalarani, S and Abirami, S and Parthasarathi, M and Varshha, D (2025) Demand-Oriented Machine Learning System for Crop Recommendation and Yield Allocation in Indian Agriculture. 2025 International Conference on Next Generation Computing Systems (ICNGCS). pp. 1-9.

Karthigha, M (2026) Machine learning driven optimization of process parameters for dissimilar joints of Al6061 and A588K HSLA steel: an experimental approach. Cluster Computing, 29 (1). ISSN 1386-7857

L

Lokesh, S (2024) Golden eagle based improved Att-BiLSTM model for big data classification with hybrid feature extraction and feature selection techniques. Network: Computation in Neural Systems, 35 (2). pp. 154-189. ISSN 0954-898X

Lokesh, S and Arvind, Madhavan and Prakash Ramanathan, R M and Krteen, Anand (2024) Intelligent Systems for Data Driven Agriculture: Enhancing Farmer Productivity Through Automation and Artificial Intelligence. 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC). pp. 433-438.

M

Mohamed Shahid, A and Jayasri, P A and Sunitha Nandhini, A and Manimegalai, R and Kavitha, M and Janeshwaran, P (2025) Automated Minutiae Extraction and Fingerprint Analysis Using Machine Learning Techniques. 2025 International Conference on Computational Innovations and Engineering Sustainability (ICCIES). pp. 1-9.

Muthupriya, P (2026) Machine Learning–Based Wear Prediction of Recycled Magnesium Matrix Composites Reinforced With Ceramic Fibers. Engineering Reports, 8 (3). pp. 1-21. ISSN 2577-8196

R

Ramanipriya, M and Anitha, S (2024) An imperative need for machine learning algorithms in heat transfer application: a review. Journal of Thermal Analysis and Calorimetry. ISSN 1388-6150

S

Sankarasubramanian, R S (2025) Heart Disease Prediction using Feature-Optimized ML and Hybrid Deep Learning Models. 2025 3rd International Conference on Sustainable Computing and Data Communication Systems (ICSCDS). pp. 1025-1028.

Sathya, Balaji and Manimegalai, R and Sunitha Nandhini, A (2024) Enhancing Cardiovascular Disease Prediction with EML-Iot Integration. 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC). pp. 158-163.

Shabariram, C P and Priya Ponnuswamy, P (2026) Resource Allocation in Edge and Cloud Integrated Environment Using Machine Learning Algorithms. In: Smart System for Integrated Computing and Communication. Springer, Singapore, pp. 27-39.

Shriniha, P A (2024) Employing Artificial Intelligence Methods for the Diagnosis of Autism Spectrum Disorder in Children. 2024 International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS). pp. 823-827.

Sivaganesan, D (2024) Maximizing Learning Outcomes while Minimizing Costs: A Cost-Effective Approach to M-Learning. International Journal of Interactive Mobile Technologies (iJIM), 18 (11). pp. 4-14. ISSN 1865-7923

Sowmiya, M (2021) An Integrated Vessel Segmentation and Machine Learning approach for abnormal vasculature detection in Retinal Images. 2021 IEEE Madras Section Conference (MASCON). pp. 1-7.

Sowmiya, M and Athish, R S and Sailesh, K (2024) Heart Disease Prediction using Optimized Feature Set and Classifiers. 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC). pp. 333-337.

Sowmiya, M and Malar, E (2022) Hierarchical learning model for early prediction of coronary artery atherosclerosis. International Journal of Operational Research, 44 (4). p. 473. ISSN 1745-7645

Susithra, N (2022) Speech based Emotion Recognition and Gender Identification using FNN and CNN Models. 2022 3rd International Conference for Emerging Technology (INCET). pp. 1-6.

T

Thirumalai Kumaran, S (2025) Hybrid ML-Based Cutting Temperature Prediction in Hard Milling Under Sustainable Lubrication. Lubricants, 13 (11): 498. pp. 1-21. ISSN 2075-4442

V

Vaishnavi, S (2025) Mitigating machining damage: Advanced modelling of pumice loading effects in Kevlar fibre-pumice sandwich polymer composites at the AWJM zone. Journal of Materials Research and Technology, 37. pp. 1019-1028. ISSN 22387854

Vaishnavi, S (2024) Nutrition Recommendation System for Sports Persons using Random Forest Algorithm. 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC). pp. 164-169.

Vilasini, V and Keerthi, V and Sriram, S (2025) A Computational Framework for Early Dysgraphia Screening via Handwriting Analysis. 2025 Second International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM). pp. 1-6.