Items where Author is "Sowmiya, M"
Article
Sowmiya, M and Malar, E (2022) Hierarchical learning model for early prediction of coronary artery atherosclerosis. International Journal of Operational Research, 44 (4). p. 473. ISSN 1745-7645
Jeyashree, A and Bavithra, K and Sowmiya, M and Archana, D and Subash Kumar, C S (2021) Automatic Vehicle Accident Indication and Reporting System for Road Ways Using Internet of Things. International Journal of Safety and Security Engineering, 11 (3). pp. 269-277. ISSN 20419031
Book Section
Jothibasu, M and Sowmiya, M and Harsha, R and Naveen, K S and Suriyaprakash, T B (2023) Improvement of computer vision-based elephant intrusion detection system (EIDS) with deep learning models. In: Innovative Engineering with AI Applications. Wiley Blackwell, pp. 131-153. ISBN 9781119792161
Sowmiya, M (2021) Deep Learning in Smart Applications: Approaches and Challenges. In: Challenges and Solutions for Sustainable Smart City Development. Springer, pp. 49-73. ISBN 9783030701826
Conference or Workshop Item
Sowmiya, M and Dheepak, S and Hari Krishna, R and Athish, R S (2024) Classification of Cardiovascular Diseases from Magnetic Resonance Imaging using Classifiers. In: 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC), Coimbatore, India.
Sowmiya, M and Athish, R S and Sailesh, K (2024) Heart Disease Prediction using Optimized Feature Set and Classifiers. In: 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC), Coimbatore, India.
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.
Sowmiya, M and Miruthula, P V (2023) Evaluation study on Cardiac Abnormalities using Ensemble Classifier and Convolutional Neural Network. In: 2023 International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM), Coimbatore, India.
Sowmiya, M (2021) An Integrated Vessel Segmentation and Machine Learning approach for abnormal vasculature detection in Retinal Images. In: 2021 IEEE Madras Section Conference (MASCON), Chennai, India.