Items where Subject is "Machine Learning"

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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.

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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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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).

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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

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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.

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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

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

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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

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.

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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.

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

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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

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

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, . and Akurathi Lakshmi, Pathi Rao and Manikandan, A and Vanaparth Kiranmai, . and UNSPECIFIED1 (2025) Comparative Study of Intrusion Detection Systems: Machine Learning Vs Deep Learning Approaches. Global Journal of Engineering Innovations & Interdisciplinary Research, 5 (5). pp. 1-5.

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