Items where Subject is "Machine Learning"
- PSG Subject Areas (18)
- A Artificial Intelligence and Data Science (18)
- Machine Learning (18)
- A Artificial Intelligence and Data Science (18)
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Archana, D and Deepthi Sri, R and Deva Dharani, P and Haripriya, S and Vimala Varshini, C P (2024) Decoding Mobile App Performance with Explainable AI (XAI). In: 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC), Coimbatore, India.
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Deepa, M and Sivaani Srinivasan, G and Aswathi, R and Harita, M and Prakalya, E and Sowmya, S (2023) Development of Mobile Application for the Aid of Hearing and Speech-Impaired People. In: 2023 International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM), Coimbatore, India.
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Gaurav, V R and Dousik, M and Akash, B and Gautham, V R and Selvakumar, D (2023) Malfaiteur Detector. In: 2023 International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM), Coimbatore, India.
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Hemkiran, S (2022) Prediction of Drug Bioactivity in Alzheimer’s Disease Using Machine Learning Techniques and Community Networks. Current Bioinformatics, 17 (8). pp. 698-709. ISSN 15748936
Hemkiran, S and Pradeepa, T and Samukthaa, R S and Ajay Raj, R (2023) Analysis of various Classification Techniques using CNN models for the Detection of Alzheimer’s Disease using MRI images. In: 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India.
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Krishneth, A and Dharaneesh, J D and Jisnu, S and Sivaganesan, D (2023) Web-plugin to Detect Clickbait in News Articles using RNN and LSTM. In: 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India.
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Maha Vishnu, V C (2019) Efficient GWR Solution by TR and CA. In: Communications in Computer and Information Science. Springer Verlag, pp. 484-492. ISBN 9789811391804
Manimegalai, R and Kavisri, S and Vasundhra, M and Kingsy Grace, R (2023) Machine Learning Framework for Analyzing Disaster-Tweets. In: 2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS), Coimbatore, India.
Manoj, M (2020) A medicinal chemistry perspective of drug repositioning: Recent advances and challenges in drug discovery. European Journal of Medicinal Chemistry, 195: 112275. ISSN 02235234
Maria Anto Benita, L and Sathyapriya, M and Venkatesh, D and Sowmiya, M (2024) Predictive Modeling of Data Transmission Throughput in IEEE 802.11 Networks Using Diverse Machine Learning Frameworks: A Comparative Analysis. In: 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC), Coimbatore, India.
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Raju, J and Anand, Krteen and Krishna Kumar, D and Sivaganesan, D (2023) Brain Tumor Identification and Classification Using Enhanced Convolution Neural Network. In: 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India.
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Sanjana Chelot, Menon (2022) Preserving Privacy of Patients With Disabilities in the Smart Healthcare Systems:. In: Using Multimedia Systems, Tools, and Technologies for Smart Healthcare Services. IGI Global, pp. 191-205. ISBN 9781668457412
Sankarasubramanian, R S (2022) The Design and Fabrication of Smart Surveillance Robot. In: 2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India.
Sankarasubramanian, R S (2024) IoT-Enabled Flood Monitoring System for Enhanced Dam Surveillance and Risk Mitigation. International Research Journal of Multidisciplinary Technovation, 6 (3). pp. 144-153. ISSN 2582-1040
Senthilkumar, K (2023) An automated software development for analysis of the morphological-tensile property relationship in egg shell bio-based particulate composites using machine learning algorithms. Composites Part C: Open Access, 10. p. 100343. ISSN 26666820
ShanthinI, M and Bhuvana, S (2023) A Performance Comparison of State-of-the-Art Imputation and Classification Strategies on Insurance Fraud Detection. In: Micro-Electronics and Telecommunication Engineering. Lecture Notes in Networks and Systems (617). Springer, Singapore, pp. 215-225. ISBN 9789811995118
Subash Kumar, C S (2022) An Energy Efficient Architecture for Furnace Monitor and Control in Foundry Based on Industry 4.0 Using IoT. Scientific Programming, 2022: 1128717. pp. 1-8. ISSN 1058-9244
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Vetrivelan, P (2023) Efficient blurred and deblurred image classification using machine learning approach. In: Advancement of Data Processing Methods for Artificial and Computing Intelligence. 1 ed. River Publishers, pp. 237-255. ISBN 9781032630212