Items where Subject is "Machine Learning"

Article

Arun, S and Sundaraj, Kenneth and Murugappan, Murugappan and Palaniappan, Rajkumar (2015) A physiological measures-based method for detecting inattention in drivers using machine learning approach. Biocybernetics and Biomedical Engineering, 35 (3). pp. 198-205. ISSN 02085216

Banushri, A and Kunal, Kishore and Madeshwaren, Vairavel and Kathiravan, M and Ramkrishna, Goli and Sharma, Neha (2025) Machine Learning Powered Asbestos Exposure Modeling Using Feature Extraction from IoT Based Sensor Data. Journal of Machine and Computing. pp. 1673-1684. ISSN 2789-1801

Benasir Begam, F and Agalya, A (2025) Machine Learning In Material Science for Microstructural Analysis, Property Prediction, and Alloy Design. International Journal of Scientific Research & Engineering Trends, 11 (3). ISSN 2395-566X

Bharathi, K and Arunachalam, A S (2026) Quality Enhancement Techniques for Breast Carcinoma in Epithelial Tissue Identification Process. ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA, 12 (58). pp. 424-433. ISSN 24470228

Biju, Paul and Kumar, Narayanan (2016) Data Gathering Protocol for Reducing Energy Utilisation in a Wireless Sensor Network. Pertanika Journal of Science & Technology. ISSN 0128-7680

Gayathri, B and Vishwa Priya, V (2025) ENHANCED BLOCKCHAIN SECURITY FOR GST BASED ON SHUFFLE CHAIN LINK PROOF AGREEMENT. International Journal of Applied Mathematics, 38 (5s). pp. 725-745. ISSN 1314-8060

Janani, S. and Sumalatha, V. (2025) Cloud-Based Optimization for Smart Scheduling of Energy Distribution in modern Power Grids. 4th International Conference on Advancements in Smart Computing & Information Security (ASCIS 2025). pp. 1-14. ISSN 1865-0929

Jeyashree, R and Poongodi, A (2026) Revolutionizing Sustainable Agriculture with SoilFeX: A Multi-modal Soil Feature Extraction Approach. Artificial Intelligence Based Smart and Secured Applications-, 2823. pp. 147-158. ISSN 1865-0929

Jyothilakshmi, K N and Parameswari, R (2025) Pulmonary Disease Detection from Chest x-ray Images using Dragonfly Enhanced Artificial bee Colony Hybrid Optimisation Technique. JOURNAL OF APPLIED BIOANALYSIS, 11 (13s). pp. 197-210. ISSN 2405-710X

Kalaivani*, K. and Phamila, Asnath Victy and Selvaperumal, Sathish Kumar (2019) Random Forest Classifier for Extracting Water bodies from Pansharpened Image to Detect Surface Water Changes. International Journal of Engineering and Advanced Technology, 9 (1). pp. 4910-4915. ISSN 22498958

Komalavalli, S and Saritha, P S and Enoch Raja, DG and Manoj prasath, T and Lizy, A and Pushpalatha, K. and UNSPECIFIED1 (2025) Hybrid Attention-Infused Ensemble Learning Model for EEG-Based Workload Assessment. Hybrid Attention-Infused Ensemble Learning Model for EEG-Based Workload Assessment. pp. 1455-1460. ISSN 979-8-3315-4317-4

Mabel Rose, R A and Banushri, A (2026) FTBHF: A Federated Trust-Aware Bio-Digital Healthcare Framework for Secure, Resilient, and Privacy-Preserving Medical IoT. Journal of Network and Systems Management. (In Press)

Manikandan, D and Saranya, S and Divya Bairavi, S and Varadharajan, S and Dhinesh, S (2025) DeepCattle: A Deep Learning Framework for Automated Detection and Severity Assessment of Ocular Squamous Cell Carcinoma in Cattle. DeepCattle: A Deep Learning Framework for Automated Detection and Severity Assessment of Ocular Squamous Cell Carcinoma in Cattle. ISSN 2352-538X

Manikandan Dhayanithi, D and Dhinesh Sivamani, S and Saranya Shanmuga, S and SatheaSree, S and Varadharajan, S and Hemavathi Pandala VenkataRao, V Deep Learning Based Early Detection of Ocular Squamous Cell Carcinoma in Calves. International Research Journal on Advanced Engineering Hub(IRJAEH). ISSN 2584-2137

Nair, Resmi G. and Kumar, Narayanan (2023) Cooperative spectrum sensing in cognitive radio networks using machine learning techniques. Applied Nanoscience, 13 (3). pp. 2353-2363. ISSN 2190-5509

Nisha Dayana, T R and Poongody, S (2025) Smart Chat Guardian. International Journal of Multidisciplinary Research in Science, Engineering and Technology, 8 (5). pp. 8878-8880.

P, Keerthana and Vijayalakshmi, A (2025) Energy-Aware UAV Relaying with SWIPT and Real-Time Reinforcement Learning for Disaster Response. Journal of Intelligent Systems and Internet of Things, 18 (1). pp. 349-360. ISSN 2769786X

Premakumari William, Malini and Priscila, S. Silvia and Kiruba, S. Briskline and Nisha Dayana, T R and Velavan, P (2024) A Comprehensive Comparison of Adaboost, Lightgbm, and Catboost for Alzheimer’s Disease Classification. FMDB Transactions on Sustainable Health Science Letters, 2 (3). pp. 175-187. ISSN 29936896

Ramanathan, Manikandan and Kumar, Narayanan (2023) Disk storage failure prediction in datacenter using machine learning models. Applied Nanoscience, 13 (2). pp. 1569-1590. ISSN 2190-5509

Ramya, R and Jebathangam, J (2026) HydroDetectNet: A Hybrid Deep Learning System for Robust Aquatic Macroplastic Monitoring. HydroDetectNet: A Hybrid Deep Learning System for Robust Aquatic Macroplastic Monitoring.

Sathish Kumar, P and Deepika, A U and Abbarna, A and Revathy, G and Ebenezer Abishek, B (2020) Rainfall Forecasting using Machine Learning Techniques. Journal of Xidian University, 14 (6). pp. 2177-2189. ISSN 1001-2400

Sheena, A D and Divya Sterlin, D and Sindhuja, K and Kuppan, P and Vishwa Priya, V and Sangeetha, Radhakrishnan and Padma Priya, D and Yogeshwari, M (2025) Deep Learning-Based OSIS-NET Framework for Accurate Detection and Classification of Osteoporosis Using MRI Imaging and Advanced Machine Learning Techniques. Journal of Information Systems Engineering and Management, 10 (27s). pp. 628-637. ISSN 2468-4376

Sumalatha, V and Janaki, S (2026) Machine Learning Based Data Security in Education. ICIAIDS. p. 24. ISSN 978-93-5592-844-3

Sumalatha, V and Ragavendra, s and Shaik, Jasmine and Deepika, Adepu and Naga, Swaroopa and Sangeethapriya, R (2025) A Hybrid Security Model: Leveraging Blockchain and Machine Learning Models for Safe Transactions. 2025 2nd International Conference on Recent Trends in Electrical, Electronics and Computing Technologies. ISSN 979-8-3315-8172-5

Suresh, B. and Karthick Raja, C (2026) ANESTHESIA DETECTION SYSTEM. nternational Journal of Advanced Research in Education and TechnologY(IJARETY), 13 (3). ISSN 2394-2975

Suresh, B. and Muthuchamy, K (2026) SPAM EMAIL DETECTION. International Journal of Advanced Research in Education and TechnologY(IJARETY), 13 (3). ISSN ISSN: 2394-2975

Thamizhvani, T.R. and Suganthi, Lakshmanan and Sivaramakrishnan, R. and UNSPECIFIED1 (2018) Mobile application-based computer-aided diagnosis of skin tumours from dermal images. The Imaging Science Journal, 66 (6). pp. 382-391. ISSN 1368-2199

VISTAS, Dr.R.Mahalakshmi An Advanced Deep Representation and Heuristic based Model for Reliable Epileptic Seizure Detection from Electroencephalogram Signals. Proceedings of the 9th International Conference on Trends in Electronics and Informatics (ICOEI-2026, 12 (4): CFP26 J32. pp. 8-18. ISSN ISBN: 979-8-3315-7587-8

Vasanthi, V N and Perumal, S (2023) SKMT: A SMART AND EFFICIENT KEY MANAGEMENT TECHNIQUE FOR SECURING THE INTERNET OF THINGS. European Chemical Bulletin, 10. pp. 7007-7017.

Vinod, D. and Sivanesh kumar, A. and Saritha, A. and Muruganantham, Manickam (2019) A Framework and Assessment of Information Security in the Product Design Centre: A Quantifiable Analysis on Information Flow. International Journal of Engineering and Advanced Technology, 9 (1). pp. 68-73. ISSN 22498958

Vishwa Priya, V and Renuga Devi, R (2020) The Comparative Analysis of Neonatal Monitoring System. JOURNAL OF COMPOSITION THEORY, XIII (IV). pp. 355-365. ISSN 0731-6755

Vishwa Priya, V and Renuga Devi, R (2020) THE OVERVIEW: BIG DATA ANALYTICS EXPENDING WITH PYTHON TO BE ACCOMPLISH BY USING MACHINE LEARNING. JOURNAL OF CRITICAL REVIEWS, 7 (3). pp. 2468-2477. ISSN 2394-5125

Book Section

Bousia Begam., A and Padma, R. and Dr.Akila, A (2026) The Digital Lookout: Enhancing Roadside Safety Through Explainable Deep Learning. In: Optimization Techniques for Computational Mathematics, Network Analysis, Fluid Mechanics and Machine Learning. SRR, pp. 1-14. ISBN 978-81-685538-5-9

Kalaiselvi, K. and Karthika, D. (2020) Identifying Diseases and Diagnosis Using Machine Learning. In: Machine Learning with Health Care Perspective. Springer, pp. 391-415.

Padma, E. and Gnanam, S. and Chandrasekaran, M. and Vinod Kumar, T. and Baskar, S. and Prakash, P. (2026) Interdisciplinary Engineering and Technology Management. In: Interdisciplinary Engineering and Technology Management. SRR BOOKS . SRR PUBLICIZING RESEARCH, CHENNAI, pp. 1-176. ISBN 9788199920682

Ramanathan, Manikandan and Kumar, Narayanan (2022) An Overview of IoT and Its Application With Machine Learning in Data Center: Intelligent Analytics for Predictive Maintenance. In: The Industrial Internet of Things (IIoT). Wiley, pp. 181-202. ISBN 9781119769026

Sudha, D. and Sujatha, P (2025) Gestational Diabetes Mellitus Prediction Using Machine Learning Algorithms. In: Proceedings of 4th International Conference on Mathematical Modeling and Computational Science. Springer, pp. 236-244.

Tharani, A. P. and Sumalatha, V. and Meenakshi, S. (2026) Enhanced E-Learning Community Detection Using Distributed Overlapping Feature Selection-Based Evolutionary Propagation Recurrent Neural Network. In: Smart Innovation, Systems and Technologies ((SIST,volume 117)). Springer Nature, pp. 29-39. ISBN 978-981-96-4409-4

Conference or Workshop Item

Arun, N and Nisha Dayana, T R (2025) Machine Learning based Multilayered Feature Analysis for Android Malware Detection. In: 2025 6th International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India.

B, Ramakrishnan. and Meenakshi, C. (2026) Zero Trust Network and Cloud Security Architecture: A New Wave of Access Control Techniques. In: INTELLIGENT CYBER PHYSICAL SYSTEMS AND INTERNET OF THINGS. INTERNATIONAL CONFERENCE. 3RD 2025. (ICOICI 2025), SEPTEMBER 17-19, 2025, COIMBATORE.

Dipisha, C and Karpagavalli, B and Sethu, S (2025) Developing App for Detecting Autonomous Car Crash and Moves in Advance. In: NATIONAL CONFERENCE ON RECENT TRENDS IN ENGINEERING AND TECHNOLOGY (NCRTET ’25).

Divya, M and Shunmuga Kumari, D and Angel Cerli, A and Anusha, P. and Angeline, Ranjithamani and Divya, V. (2026) A Multi-Modal Machine Learning Framework Integrating Medical Records and Wearable Sensor Data for Early Diabetes Prediction. In: 9th International Conference on Inventive Computation Technologies (ICICT-2026).

H, Ramya and Jaya, T. (2024) Machine Learning-Based Optimization of Channel and Power Allocation in 5G Systems. In: 2024 Global Conference on Communications and Information Technologies (GCCIT), BANGALORE, India.

HARIKRISHNAN, K and Suresh, B. Smart Study App: An Intelligent Web-Based Learning Platform for Integrated Resource Access and Time-Aware Study Management. In: Web-Based Learning.

Indumathi, M. and Parameswari, R. (2025) Laplace Kernel Adaptive Tuning Optimized Transfer Learning for Cardiovascular Disease Prediction. In: 2025 4th International Conference on Applied Artificial Intelligence and Computing (ICAAIC), Salem, India.

Jayaprabha, M S and Vishwa Priya, V (2025) Chronic Kidney Disease (CKD) Prediction using AutoDL Classifier Algorithms. In: 2025 5th International Conference on Soft Computing for Security Applications (ICSCSA), Salem, India.

Jayashree, S. and Royal, G.K. Sai Rohith and Pavan, CH. (2026) An Integrated Machine Learning Architecture for Multi-Disease Prediction Using Ensemble Models and Advanced Training-Optimization Techniques. In: 2026 8th International Conference on Intelligent Sustainable Systems (ICISS), Tirunelveli, India.

Jessica, L and Ulagapriya, K (2026) FETAL AUDITORY FUNCTIONALITY ASSESSMENT. In: INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SCIENCE, ENGINEERING AND MANAGEMENT, 24.04.2026, Chennai.

Kasturi, K and Jamuna, J (2025) Parkinson’s Disease Prediction Using Time-Aware Transformer Networks on Longitudinal EHR Data. In: 3rd International Conference on Sustainable Computing and Smart Systems (ICSCSS 2025, 20-22 August 2025, Coimbatore, India.

M M, Ramakrishna and Atyam, Nageswara Rao and Chaurasia, Nikhil and Senthamil, L Sahaya and Shah, Mohd Asif and Raja, V. L. (2023) An Automation Innovation of Gearbox Vehicle Control by Using Machine Learning Based Robotic Operation. In: 2023 International Conference on Disruptive Technologies (ICDT), Greater Noida, India.

Meenakshi, S and Arunachalam, A S (2025) AECNN: A Dual-Stage Deep Learning Framework for Accurate and Efficient Ultrasound-Based Breast Cancer Detection. In: 2025 2nd International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF), Chennai, India.

Murali, G. and Kumar, Narayanan (2025) Enhanced Ophthalmic Diagnostics with RetinaNetX Leveraging Combined Image Processing Techniques for Diabetic Retinopathy. In: 2025 International Conference on Emerging Technologies in Engineering Applications (ICETEA), Puducherry, India.

Muthuchamy, K and Piramu Preethika, S K (2025) COMPARATIVE ANALYSIS OF COLORECTAL CANCER BASED ON MACHINE LEARNING ALGORITHMS. In: 4th International Conference on Enhanced Techniques in Real-Time Applications (ICETRA25).

Nisha Dayana, T R MACHINE LEARNING-DRIVEN EARLY WARNING SYSTEMS FOR PREDICTING CLIMATE CHANGE IMPACTS. In: MACHINE LEARNING-DRIVEN EARLY WARNING SYSTEMS FOR PREDICTING CLIMATE CHANGE IMPACTS.

Pradeepa, G and Devi, R (2022) Web Content Based Features for Malicious Web Page Detection Using Machine Learning. In: 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India.

ROSHINI JENIFER, D and Sheela Gowr, P. and Thirumal, S. (2026) Vision Transformer-Based Systems Achieve State- Of-The-Art In Stress Prediction From Facial Images. In: 2026 Contemporary Computing Innovations Conference (CCIC).

Revathy, G and Ashok Kumar Katta, V and Sakthi Bharathi, I (2025) A Machine Learning Framework for Real-Time Credit Risk Assessment and Scoring. In: 2nd International Conference on Global Trends in Engineering and Technological Advancement (2nd ICGTETA’25), 25.10.2025, Chennai.

SANDO, V and Sameer Basha, s and Krithika, M (2026) VISION-BASED AUTOMATED ATTENDANCE SYSTEM USING HAAR CASCADE ALGORITHM. In: INTERNATIONAL CONFERENCE 2026 Computational Intelligence & Mathematical Applications, 12,13 MARCH 2026, MALAYSIA.

Senthil, G.A. and Prabha, R and Sridevi, S. and Rohini, A. (2025) Artificial Intelligence: Advanced Mathematical Constructs and Theoretical Framework in Machine Learning and Deep Learning Algorithms. In: International Conference on Optimization Techniques in the Field of Engineering, 15 November 2024.

Shunmuga Kumari, D and SATHYA, S and Prakash, K and Sheela, K. and Sakthivanitha, M and Poornima, V. (2026) Detecting Phishing Websites Using Hybrid Feature Extraction and Classification. In: 2026 Sixth International Conference on Advances in Electrical, Computing, Communications and Sustainable Technologies (ICAECT), 15.01.2026, Chennai, India.

Somasundaram, S. and Gobinath, R. (2019) Current Trends on Deep Learning Models for Brain Tumor Segmentation and Detection – A Review. In: 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon), Faridabad, India.

Sri, Vemu Santhi and Jothi Lakshmi, G.R (2023) Detection Analysis of Abnormality in Kidney using Deep Learning Techniques and its Optimization. In: 2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT), Trichirappalli, India.

Vidhya, K (2026) A Hybrid Deep Learning Framework Combining Swin Transformer and Mask R- CNN for Dismantled Weapon Part Detection. In: International conference on datascience, agents and artificial intelligence 2026, 26.03.26 to 28.03.26, Chennai. (In Press)

Book

Abinaya Ramsu, RS and Ulagapriya, K (2026) AI-BASED DRUG DISCOVERY AND ACTIVITY PREDICTION. Ryan Publishers. ISBN 978-81-69050-45-6

Kamalakkannan, S (2023) Evolution of Federated Machine Learning (Volume 1). UDHAYAS SPNC PUBLICATION. ISBN 9789391871581

Sakthi Bharathi, I and Ashok, V and Revathy, G (2026) Analysis of Depression Risk. ICA6NT 562 . Velammal Institute of Technology, Chennai. ISBN 978-81-985448-5-8