A

Anantha Prabha, P (2025) Smart Hybrid Mini-Xception Model and Eyebrow Displacement-Based Stress Level and Emotion Detection System. In: Proceedings of International Conference on Recent Trends in Computing. Lecture Notes in Networks and Systems, 886 (886). Springer, Singapore, pp. 417-429. ISBN 9789819789450

Archana, D (2024) Enhanced Multi-Scale Graph Networks for Glaucoma Detection in Optical Coherence Tomography. 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). 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.

Arvind, C (2025) Advanced predictive disease modeling in biomedical IoT using the temporal adaptive neural evolutionary algorithm. Scientific Reports, 15 (1). ISSN 2045-2322

B

Baskaran, J (2025) Neuroimaging empowered Multimodal Alzheimer’s Disease Diagnostic model to enhance early detection and diagnostic for personalize treatment strategies. 2025 International Conference on Computational Innovations and Engineering Sustainability (ICCIES). pp. 1-7.

Bavithra, K and Akshayakannaa, S and Dharshini, S and Gokul, M and Kesavan, T (2024) IOT Based-Smart CAP. 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC). pp. 152-157.

C

Charunetraa, P L and Ganadharani, S and Malaharshana, A P and Joshitha, T and Deepa, M and Rajaraja, R (2025) A Mobile IoT-Based Smart Pill Dispenser with Biometric Authentication. 2025 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET). pp. 1-7.

Chinnaraj, P (2025) Unified approach for accurate brain tumor Multi-Classification and segmentation through fusion of advanced methodologies. Biomedical Signal Processing and Control, 100: 106872. pp. 1-12. ISSN 17468094

Chinnaraj, P (2026) A novel enhanced spiking sheaf attention neural network for real-time health monitoring based on internet of things. Microsystem Technologies, 32 (4). ISSN 0946-7076

D

Deepa, M (2024) Fuzzy Logic-based Current Control Logic for Proportional Flow Control Valve System of Medical Ventilators. Proceedings of the Bulgarian Academy of Sciences, 77 (9). pp. 1331-1339. ISSN 1310-1331

Deepa, M and Gauri, Narayanan and Jahnavi, Vempati and Varssha, B and Manibharathi, M A (2024) Lossless and Low-Power ECG Compression Using a Hybrid Approach. 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC). pp. 404-409.

Deepa, M and Raagul, A S (2025) A novel breath pattern model and analysis to minimize patient discomfort in medical ventilators. Scientific Reports, 15 (1). ISSN 2045-2322

Divya, R and Aswin, K and Priya, K and Surrvesh, K S (2024) Health Monitoring and Assistance System for Wheelchair Patients. 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC). pp. 534-538.

G

Gomathi, B (2025) Applying VGG-19 and Grad-CAM for Tumor Region Identification in Thyroid Nodules. 2025 International Conference on Next Generation Computing Systems (ICNGCS). pp. 1-6.

Gomathi, B (2024) Deep Learning-Based Smart Healthcare System for Patient's Discomfort Detection: Trends, Challenges and Applications. In: Deep Learning for Smart Healthcare. Auerbach Publications, Boca Raton, pp. 107-128. ISBN 9781003469605

Gomathy, B (2024) Artificial Intelligence-Based Drowsiness Detection. 2024 IEEE 5th International Conference on Electro-Computing Technologies for Humanity (NIGERCON). pp. 1-5.

Gomathy, B (2025) Optimized deep learning models for stress-based stroke prediction from EEG signals. Discover Applied Sciences, 7 (6). ISSN 3004-9261

H

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 Sanjay, R and Harish, M and Roshini Priya, R (2025) Enhancing Fetal Distress Prediction Using TabNet XGBoost Ensemble with SMOTE Technique. 2025 International Conference on Next Generation Computing Systems (ICNGCS). pp. 1-7.

I

Iswarya, N and Princy Beatrice, R and Deva Dharani, P (2025) Deep Learning Based Autism Prediction Using Facial Cues in Early Childhood. 2025 Second International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM). pp. 1-8.

J

Jothibasu, M and Asshwanth, S D and Madhan, S and Praneshkumar, R (2024) Advanced Safety System with Computer Vision-Based Eye Movement and Heart Rate Monitoring. 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC). pp. 454-459.

Jothibasu, M and Harish Raj, S D (2024) Vaccination Application for Vaccine Booking and Management. 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC). pp. 460-465.

K

Kala, I (2025) Transfer Learning Techniques and Approaches for Predictive Modeling of Disease Outcomes. Informing Science: The International Journal of an Emerging Transdiscipline, 28. pp. 1-14. ISSN 1547-9684

Karishma Kaine, T and Priyanka, Panda and Dhanya Shree, M and Jayanthi Sree, S and Prithish Goutam, S (2025) Performance Evaluation of ML and DL Approaches for Early Diagnosis of Autism Spectrum Disorder and Development of Autism Care Hub. 2025 International Conference on Next Generation Computing Systems (ICNGCS). pp. 1-8.

Kumaravel, A (2025) Quorum sensing and quorum quenching: a brief review. Harnessing Quorum Quenching for Disease Management. pp. 3-19.

L

Lokesh, S (2024) Deep-KEDI: Deep learning-based zigzag generative adversarial network for encryption and decryption of medical images. Technology and Health Care, 32 (5). pp. 3231-3251. ISSN 09287329

Lokesh, S (2024) Enhanced Lung Cancer Diagnosis and Staging With HRNeT : A Deep Learning Approach. International Journal of Imaging Systems and Technology, 34 (6). ISSN 0899-9457

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.

N

PSG Institute of Technology and Applied Research (2023) STRETCHER CONVERTIBLE WHEELCHAIR. 448440.

P

Pavithra, C V (2025) Hybrid CNN-RF Model for Accurate Breast Cancer Classification from Histopathological Images. 2025 Second International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM). pp. 1-5.

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.

Santhanamari, G and Abinaya, M R and Aiswarya, P and Jawagar, M and Thanuj, R and Deva Dharani, P (2024) Digital Health Tracker. 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC). pp. 597-602.

Santhanamari, G and Choudhary, Shreya and Sankara Malai Mohan, P S and Gurusharan, . and Vasanth, L (2025) A Smart Wearable-Based Fall Detection and Health Monitoring System for Elderly Care Using IoT and Machine Learning. 2025 International Conference on Next Generation Computing Systems (ICNGCS). pp. 1-6.

Sathya, Balaji and Kalarani, S (2025) IoMT-Driven Ensemble Learning Framework for Cardiovascular Disease Prediction. 2025 International Conference on Modern Sustainable Systems (CMSS). pp. 566-570.

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.

Selvakumar, D (2025) Detecting ferric oxide adulteration in chilli Powder: A Multimodal analytical approach for enhanced food safety. Microchemical Journal, 208: 112332. ISSN 0026265X

Selvakumar, D and Deeksha, S and Infanta Joanna Motha, V and Asmita, J and Devika, Nair (2024) Dealing with Diabetes: Artificial Pancreas Using Arduino. 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC). pp. 568-572.

Senthilkumar, K Revolutionizing Healthcare and Dentistry: The Transformative Impact of 3D Printing on Customized Solutions. In: Mechanical and Thermal Properties of Engineering Thermoplastics Composites. Nova Science Publishers, Inc, pp. 175-186. ISBN 979-8-89530-460-0

Senthilkumar, K and Thirumalai Kumaran, S (2024) The Global Challenge of Fluoride Contamination: A Comprehensive Review of Removal Processes and Implications for Human Health and Ecosystems. Sustainability, 16 (24): 11056. ISSN 2071-1050

Shabariram, C P and Mathuranathan, R and Shiva, V (2025) MedGenie: Integrating Deep Learning and Cloud Services for Intelligent Diagnosis and Connected Healthcare. 2025 Second International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM). pp. 1-5.

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.

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 Dheepak, S and Hari Krishna, R and Athish, R S (2024) Classification of Cardiovascular Diseases from Magnetic Resonance Imaging using Classifiers. 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC). pp. 528-533.

Sowmiya, M and Malar, E (2025) A Guided Decoder Enhanced Deep Neural Network for Multi-class Cardiac MRI Segmentation. IETE Journal of Research. pp. 1-18. ISSN 0377-2063

Sowmiya, M and Malar, E (2025) Optimized heart disease prediction model using a meta-heuristic feature selection with improved binary salp swarm algorithm and stacking classifier. Computers in Biology and Medicine, 191: 110171. ISSN 00104825

Sowmiya, M and Malar, E and Sudharshana, M K (2025) Classification of Cardiomyopathy Conditions Using Convolutional Neural Network. 2025 Second International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM). pp. 1-4.

Sowmiya, M and Sasmitha, U and Janarthanan, K and Mithilesh, Ravi Shankaran and Ramesh, Raghavendran (2025) Secure Real-Time Healthcare Monitoring in Medical IOT Using Modified Encryption Algorithm. 2025 International Conference on Next Generation Computing Systems (ICNGCS). pp. 1-8.

Sridhar, P (2026) Driver Safety Enhancement Using Computer Vision and Embedded for Effective Drowsiness Detection. In: Smart System for Integrated Computing and Communication. Springer, Singapore, pp. 150-163.

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.

Susithra, N and Nidhiyashree, V K and Sivatharini, R and Priyanka, P and Jasmitaa, G (2025) Implementation of Recursive and Iterative Moving Average Filter for ECG Data in Fixed and Floating Representation. 2025 Second International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM). pp. 1-6.

V

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.

Vetrivelan, P and Gopika, G and Mekanya, M and Pradeepika, N and Tharunika, G R (2025) Biometric Based Blood Group Identification. 2025 International Conference on Next Generation Computing Systems (ICNGCS). pp. 1-7.

Vetrivelan, P and Sanjay, K and Shreedhar, G D and Keerthana Vasan, S and Nithyan, R (2024) Brain Tumor Detection and Classification Using Deep Learning. 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC). pp. 1-6.

Vijayakumar, P (2025) Enriched lung cancer classification approach using an optimized hybrid deep learning approach. Scientific Reports, 15 (1). ISSN 2045-2322

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.

Y

Yamuna, A and Selvakumar, D (2026) Towards accurate diabetic retinal disease detection using advanced deep metric learning. Biomedical Signal Processing and Control, 113. p. 109127. ISSN 17468094