Items where Subject is "Machine Learning"

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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

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

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

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

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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.

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 COMPARATIVE ANALYSIS OF COLORECTAL CANCER BASED ON MACHINE LEARNING ALGORITHMS. In: 4th International Conference on Enhanced Techniques in Real-Time Applications (ICETRA25).

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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

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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.

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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

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

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Sahayadhas, Arun 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

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.

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.

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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