| Automatic feature extraction and detection of plant leaf disease using GLCM features and convolutional neural networks M Yogeshwari, G Thailambal Materials Today: Proceedings 81, 530-536, 2023 | 69 | 2023 |
| Alzheimer's disease prediction using machine learning techniques and principal component analysis (PCA) M Sudharsan, G Thailambal Materials Today: Proceedings 81, 182-190, 2023 | 45 | 2023 |
| Comparison of classification algorithms in text mining A Sheshasaayee, G Thailambal International journal of pure and applied mathematics 116 (22), 425-433, 2017 | 29 | 2017 |
| Dynamic light weight recommendation system for social networking analysis using a hybrid LSTM-SVM classifier algorithm NS Kiruthika, DG Thailambal Optical Memory and Neural Networks 31 (1), 59-75, 2022 | 21 | 2022 |
| Automatic segmentation of plant leaf disease using improved fast fuzzy C means clustering And adaptive Otsu thresholding (IFFCM-AO) algorithm M Yogeshwari, G Thailambal Eur J Mol Clin Med 7 (3), 5447-5462, 2020 | 14 | 2020 |
| Comparative Study on Currency Recognition System Using Image Processing S Surya, G Thailambal International Journal Of Engineering And Computer Science, ISSN 3 (8), 7723-7726, 2014 | 14 | 2014 |
| A comparitive analysis of single pattern matching algorithms in text mining A Sheshasayee, G Thailambal 2015 International Conference on Green Computing and Internet of Things …, 2015 | 8 | 2015 |
| Alzheimer’s disease: Early-Stage Prediction and Classification using Multi-Model Technique M Sudharsan, G Thailambal 2022 International Conference on Inventive Computation Technologies (ICICT …, 2022 | 7 | 2022 |
| A Hybrid Learning Approach for Early-Stage Prediction and Classification of Alzheimer's Disease Using Multi-Features M Sudharsan, G Thailambal 2022 6th International Conference on Trends in Electronics and Informatics …, 2022 | 4 | 2022 |
| Alzheimer’s disease prediction using machine learning techniques and principal component analysis (PCA) Mater M Sudharsan, G Thailambal Today Proc. 2021 doi 10, 2021 | 3 | 2021 |
| Performance of multiple string matching algorithms in text mining A Sheshasaayee, G Thailambal Proceedings of the 5th International Conference on Frontiers in Intelligent …, 2017 | 3 | 2017 |
| An Recognition of Alzheimer Disease using Brain MRI Images with DPNMM through Adaptive Model M Sudharsan, G Thailambal 2022 International Conference on Edge Computing and Applications (ICECAA …, 2022 | 2 | 2022 |
| Categorisation and Prognosticationof Diabetic Retinopathy using Ensemble Learning and CNN G Meenakshi, G Thailambal 2022 6th International Conference on Trends in Electronics and Informatics …, 2022 | 2 | 2022 |
| Drugs Usage Prediction in Weka Tool Using C4. 5 Classification Algorithm G Thailambal, R Subramani, S Saradha Int. J. Pure 119 (15), 3633-3642, 2018 | 2 | 2018 |
| A Study On K-means Clustering In Text Mining Using Python GT Dr.(Mrs.) Ananthi Sheshasaayee International Journal Of Computer Systems , Vol 3, Issue 08, August 2016 3 …, 2016 | 2* | 2016 |
| A comparative analysis of multiple methodologies of brain tumor detection in machine learning techniques S Kalaiselvi, G Thailambal AIP Conference Proceedings 2519 (1), 2022 | 1 | 2022 |
| Light weight recommendation system for social networking analysis using a hybrid BERT-SVM classifier algorithm NS Kiruthika, G Thailambal Научно-технический вестник информационных технологий, механики и оптики 22 …, 2022 | 1 | 2022 |
| A study on various classifications and prediction techniques for diabetic retinopathy G Meenakshi, G Thailambal 2021 5th International Conference on Trends in Electronics and Informatics …, 2021 | 1 | 2021 |
| Social Group Recommendation With Several Algorithms MNS Kiruthika Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12 (11 …, 2021 | 1 | 2021 |
| Brain tumor diagnosis from MR images using boosted multi-gradient support vector machine classifier S Kalaiselvi, G Thailambal Measurement: Sensors, 101071, 2024 | | 2024 |
