Grape leaf disease identification using machine learning techniques SM Jaisakthi, P Mirunalini, D Thenmozhi 2019 International conference on computational intelligence in data science …, 2019 | 109 | 2019 |
Automated skin lesion segmentation of dermoscopic images using GrabCut and k‐means algorithms SM Jaisakthi, P Mirunalini, C Aravindan IET Computer Vision 12 (8), 1088-1095, 2018 | 89 | 2018 |
Classification of skin cancer from dermoscopic images using deep neural network architectures J SM, M P, C Aravindan, R Appavu Multimedia Tools and Applications 82 (10), 15763-15778, 2023 | 65 | 2023 |
Deep Learning for Skin Lesion Classification P Mirunalini, C Aravindan, V Gokul, SM Jaisakthi Working notes as a part of the task conducted in IEEE International …, 2017 | 34 | 2017 |
Automatic Skin Lesion Segmentation using Semi-supervised Learning Technique SM Jaisakthi, C Aravindan, P Mirunalini Working notes as a part of the task conducted in IEEE International …, 2017 | 29 | 2017 |
Segmentation of Coronary Arteries from CTA axial slices using Deep Learning techniques P Mirunalini, C Aravindan, AT Nambi, S Poorvaja, VP Priya TENCON 2019-2019 IEEE Region 10 Conference (TENCON), 2074-2080, 2019 | 19 | 2019 |
Fish species recognition using transfer learning techniques JS Murugaiyan, M Palaniappan, T Durairaj, V Muthukumar International Journal of Advances in Intelligent Informatics 7 (2), 188-197, 2021 | 17 | 2021 |
Moneyball-data mining on cricket dataset D Thenmozhi, P Mirunalini, SM Jaisakthi, S Vasudevan, VV Kannan, ... 2019 International Conference on Computational Intelligence in Data Science …, 2019 | 16 | 2019 |
Tracking of object in occluded and non-occluded environment using SIFT and Kalman filter P Mirunalini, SM Jaisakthi, R Sujana TENCON 2017 - 2017 IEEE Region 10 Conference, Penang, 1290-1295, 2017 | 11 | 2017 |
Review of Feature Extraction and Matching Methods for Drone Image Stitching TTM M Dhana Lakshmi, P Mirunalini, R Priyadharsini Proceedings of the International Conference on ISMAC in Computational Vision …, 2019 | 10 | 2019 |
Coral Reef Annotation and Localization using Faster R-CNN MPAC Jaisakth S M CLEF -2019 2390, 2019 | 9 | 2019 |
Automatic segmentation of coronary arteries and detection of stenosis P Mirunalini, C Aravindan TENCON 2013-2013 IEEE Region 10 Conference (31194), 1-4, 2013 | 9 | 2013 |
Multi-Level Smart Parking System P Mirunalini, B Bharathi, N Ananthamurugan, S Suresh, S Gopal 2018 International Conference on Computer, Communication, and Signal …, 2018 | 5 | 2018 |
Automatic stenosis detection using SVM from CTA projection images P Mirunalini, C Aravindan, SM Jaisakthi Multimedia Systems, 1-11, 2017 | 5 | 2017 |
Decision Tree Approach for Consumer Health Information Search. D Thenmozhi, P Mirunalini, C Aravindan FIRE (Working Notes), 221-225, 2016 | 5 | 2016 |
Deep learning for skin lesion classification. arXiv 2017 P Mirunalini, A Chandrabose, V Gokul, S Jaisakthi arXiv preprint arXiv:1703.04364, 0 | 5 | |
Locatemybus: iot-driven smart bus transit K Desingu, DM Isaac, P Mirunalini, B Bharathi, CM Philipose Journal of Communications Software and Systems 19 (2), 136-146, 2023 | 4 | 2023 |
Classification of Fungi Species: A Deep Learning Based Image Feature Extraction and Gradient Boosting Ensemble Approach. K Desingu, A Bhaskar, P Mirunalini, EA Chodisetty, H Bharathi CLEF (Working Notes), 2047-2062, 2022 | 4 | 2022 |
Automated Skin Lesion Segmentation of Dermoscopic Images Using GrabCut and k-Means Algorithms. IET Computer Vision, 12, 1088-1095 SM Jaisakthi, P Mirunalini, C Aravindan | 4 | 2018 |
Automatic skin lesion segmentation using semi-supervised learning technique. arXiv SM Jaisakthi, A Chandrabose, P Mirunalini arXiv preprint arXiv:1703.04301, 2017 | 4 | 2017 |