| Grape leaf disease identification using machine learning techniques SM Jaisakthi, P Mirunalini, D Thenmozhi 2019 International conference on computational intelligence in data science …, 2019 | 123 | 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 | 92 | 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 | 85 | 2023 |
| Deep Convolutional Neural Networks for image based tomato leaf disease detection T Anandhakrishnan, SM Jaisakthi Sustainable Chemistry and Pharmacy 30, 100793, 2022 | 57 | 2022 |
| Deep learning for skin lesion classification P Mirunalini, A Chandrabose, V Gokul, SM Jaisakthi arXiv preprint arXiv:1703.04364, 2017 | 34 | 2017 |
| Automatic skin lesion segmentation using semi-supervised learning technique SM Jaisakthi, A Chandrabose, P Mirunalini arXiv preprint arXiv:1703.04301, 2017 | 30 | 2017 |
| Strategies for parallelizing kmeans data clustering algorithm S Mohanavalli, SM Jaisakthi, C Aravindan Information Technology and Mobile Communication: International Conference …, 2011 | 20 | 2011 |
| 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 |
| Identification of tomato leaf disease detection using pretrained deep convolutional neural network models T Anandhakrishnan, JSM Murugaiyan Scalable Computing: Practice and Experience 21 (4), 625-635, 2020 | 17 | 2020 |
| 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 | 17 | 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, 1290-1295, 2017 | 13 | 2017 |
| Coral Reef Annotation and Localization using Faster R-CNN. SM Jaisakthi, P Mirunalini, C Aravindan CLEF (Working Notes), 2019 | 11 | 2019 |
| Detection of flooded regions from satellite images using modified unet SM Jaisakthi, PR Dhanya, S Jitesh Kumar International Conference on Computational Intelligence in Data Science, 167-174, 2021 | 8 | 2021 |
| Customer churn prediction using stochastic gradient boosting technique SM Jaisakthi, N Gayathri, K Uma, V Vijayarajan Journal of Computational and Theoretical Nanoscience 15 (6-7), 2410-2414, 2018 | 8 | 2018 |
| Internet of Things in Agriculture-Survey T Anandhakrishnan, SM Jaisakthi Journal of Computational and Theoretical Nanoscience 15 (6-7), 2405-2409, 2018 | 8 | 2018 |
| Face detection using data and sensor fusion techniques SM Jaisakthi, C Aravindan 2011 International Conference of Soft Computing and Pattern Recognition …, 2011 | 8 | 2011 |
| Face detection based on eigenfaces and legendre moments SM Jaisakthi, C Aravindan TENCON 2009-2009 IEEE Region 10 Conference, 1-5, 2009 | 8 | 2009 |
| Handbook of deep learning in biomedical engineering and health informatics EG Julie, YH Robinson, SM Jaisakthi CRC Press, 2021 | 7 | 2021 |
| Simulation and analysis of mathematical methods in real-time engineering applications T Ananthkumar, EG Julie, YH Robinson, SM Jaisakthi John Wiley & Sons, 2021 | 7 | 2021 |
| Automatic stenosis detection using SVM from CTA projection images P Mirunalini, C Aravindan, SM Jaisakthi Multimedia Systems 25, 83-93, 2019 | 6 | 2019 |
