| Cardamom plant disease detection approach using EfficientNetV2 CK Sunil, CD Jaidhar, N Patil Ieee Access 10, 789-804, 2021 | 181 | 2021 |
| Tomato plant disease classification using multilevel feature fusion with adaptive channel spatial and pixel attention mechanism CK Sunil, CD Jaidhar, N Patil Expert Systems with Applications 228, 120381, 2023 | 66 | 2023 |
| A novel filter–wrapper hybrid greedy ensemble approach optimized using the genetic algorithm to reduce the dimensionality of high-dimensional biomedical datasets T Gangavarapu, N Patil Applied Soft Computing 81, 105538, 2019 | 49 | 2019 |
| Systematic study on deep learning-based plant disease detection or classification CK Sunil, CD Jaidhar, N Patil Artificial Intelligence Review 56 (12), 14955-15052, 2023 | 46 | 2023 |
| Genetic algorithm based wrapper feature selection on hybrid prediction model for analysis of high dimensional data RC Anirudha, R Kannan, N Patil 2014 9th International Conference on Industrial and Information Systems …, 2014 | 42 | 2014 |
| An improved method for disease prediction using fuzzy approach N Chetty, KS Vaisla, N Patil 2015 Second International Conference on Advances in Computing and …, 2015 | 41 | 2015 |
| Recommender system based on hierarchical clustering algorithm chameleon U Gupta, N Patil 2015 IEEE International advance computing conference (IACC), 1006-1010, 2015 | 39 | 2015 |
| An enhanced protein secondary structure prediction using deep learning framework on hybrid profile based features P Kumar, S Bankapur, N Patil Applied Soft Computing 86, 105926, 2020 | 37 | 2020 |
| Gaussian blurring technique for detecting and classifying acute lymphoblastic leukemia cancer cells from microscopic biopsy images TG Devi, N Patil, S Rai, CS Philipose Life 13 (2), 348, 2023 | 32 | 2023 |
| Utilizing deep learning models and transfer learning for COVID-19 detection from X-ray images S Agrawal, V Honnakasturi, M Nara, N Patil SN Computer Science 4 (4), 326, 2023 | 25 | 2023 |
| Binary class and multi-class plant disease detection using ensemble deep learning-based approach CK Sunil, CD Jaidhar, N Patil International Journal of Sustainable Agricultural Management and Informatics …, 2022 | 25 | 2022 |
| Analysis & evaluation of Image filtering Noise reduction technique for Microscopic Images TG Devi, N Patil 2020 International Conference on Innovative Trends in Information Technology …, 2020 | 24 | 2020 |
| Optimal clustering method based on genetic algorithm S Gajawada, D Toshniwal, N Patil, K Garg Proceedings of the International Conference on Soft Computing for Problem …, 2012 | 23 | 2012 |
| Empirical study on multi convolutional layer-based convolutional neural network classifier for plant leaf disease detection CK Sunil, CD Jaidhar, N Patil 2020 IEEE 15th International conference on industrial and information …, 2020 | 19 | 2020 |
| An efficient parallel row enumerated algorithm for mining frequent colossal closed itemsets from high dimensional datasets MK Vanahalli, N Patil Information Sciences 496, 343-362, 2019 | 19 | 2019 |
| Frequent pattern mining on stream data using Hadoop CanTree-GTree V Kusumakumari, D Sherigar, R Chandran, N Patil Procedia computer science 115, 266-273, 2017 | 17 | 2017 |
| Evaluation of machine learning frameworks on bank marketing and higgs datasets BM Shashidhara, S Jain, VD Rao, N Patil, GS Raghavendra 2015 Second International Conference on Advances in Computing and …, 2015 | 17 | 2015 |
| An enhanced protein fold recognition for low similarity datasets using convolutional and skip-gram features with deep neural network S Bankapur, N Patil IEEE Transactions on NanoBioscience 20 (1), 42-49, 2020 | 13 | 2020 |
| Segmentation and classification of white blood cancer cells from bone marrow microscopic images using duplet-convolutional neural network design TG Devi, N Patil, S Rai, CP Sarah Multimedia Tools and Applications 82 (23), 35277-35299, 2023 | 9 | 2023 |
| Enhanced protein structural class prediction using effective feature modeling and ensemble of classifiers S Bankapur, N Patil IEEE/ACM Transactions on Computational Biology and Bioinformatics 18 (6 …, 2020 | 9 | 2020 |
