Items where Subject is "Machine Learning"

Group by: VELS Creators | Item Type
Number of items at this level: 8.

Article

D, *Vinod. and A, Sivanesh kumar. and Arumugam, Saritha 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

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

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

Book Section

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

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.

Conference or Workshop Item

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.

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.

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.

This list was generated on Wed Sep 3 06:30:47 2025 IST.