| Air pollution prediction by deep learning model S Jeya, L Sankari 2020 4th International Conference on Intelligent Computing and Control …, 2020 | 21 | 2020 |
| Image segmentation using glowworm swarm optimization for finding initial seed L Sankari Int. J. Sci. Res.(IJSR) 3 (8), 1611-1615, 2014 | 11 | 2014 |
| Semi supervised image segmentation by optimal color seed selection using fast genetic algorithm L Sankari, C Chandrasekar International Journal of Computer Applications 26 (10), 1318, 2011 | 5 | 2011 |
| Semi supervised image segmentation using optimal color seed selection L Sankari, C Chandrasekar International Journal of Engineering and Technology 4 (6), 840, 2012 | 4 | 2012 |
| SEMI SUPERVISED IMAGE SEGMENTATION USING OPTIMAL HIERARCHICAL CLUSTERING BY SELECTING INTERESTED REGION AS PRIOR INFORMATION‖ L Sankari, C Chandrasekar Journal of Global Research in Computer Science 2 (11), 1-5, 2011 | 2 | 2011 |
| Adaptive kernel fuzzy weighted particle swarm optimized deep learning model to predict air pollution PM2. 5. S Jeya, L Sankari Ilkogretim Online 20 (5), 2021 | 1 | 2021 |
| An efficient segmentation and action recognition in video using visual saliency and reliable region approach L Sankari, S Rekha Clinical Chemistry 49 (8), 1421-1422, 2016 | 1 | 2016 |
| A New Enhanced Semi Supervised Image Segmentation Using Marker as Prior Information L Sankari, C Chandrasekar International Journal of Image, Graphics and Signal Processing 4 (1), 51, 2012 | 1 | 2012 |
| PSO based Deep Learning Model for Forecasting S Jeya, L Sankari TEST Engineering & Management 83, 8926-8932, 0 | 1 | |
| A review Report on Insight of Human Behavioral Issues during Covid-19 MS Dr.L.Sankari, B.Amrita, M.Sushmitha International journal of Advance and Innovative Research 8 (4), 67-69, 2021 | | 2021 |
| Research on Semi Supervised Image Segmentation Using Optimal Hierarchical Clustering by Selecting Interested Region as Prior Information L Sankari, C Chandrasekar BP International, 2021 | | 2021 |
| An Assessment on Effects of Air Pollution Using Machine Learning S Jeya, L Sankari | | 2017 |
| A Survey on Semi Supervised Clustering Techniques in Image Segmentation KS LakshmiPriya, L Sankari Digital Image Processing, 1000-1003, 2012 | | 2012 |
| A Study on Performance Measure Evaluation of Semi Supervised Image Segmentation Techniques L Sankari, C Chandrasekar Digital Image Processing, 844-846, 2011 | | 2011 |
| A best variant of semi supervised image segmentation algorithm for different approaches using intensity and color L Sankari Kodaikanal, 0 | | |
| Spatial-temporal, terrain forecasting of air quality model by multiple Deep Neural Networks SJL Sankari International Journal of Computer Sciences and Engineering 7 (Issue-5), 472-477, 0 | | |
| A Novel Rule Pruning Ensemble Learning Approach to Recognize the Risk of Impaired Glucose Tolerance K Suganya, L Sankari | | |
| Speech Therapy Models For Disabled Children Using Data Mining Techniques-A Review L Sankari | | |
