| PSO optimized 1-D CNN-SVM architecture for real-time detection and classification applications B Navaneeth, M Suchetha Computers in biology and medicine 108, 85-92, 2019 | 69 | 2019 |
| A deep-learning-based system for automated sensing of chronic kidney disease N Bhaskar, S Manikandan IEEE Sensors Letters 3 (10), 1-4, 2019 | 49 | 2019 |
| Time series classification-based correlational neural network with bidirectional LSTM for automated detection of kidney disease N Bhaskar, M Suchetha, NY Philip IEEE Sensors Journal 21 (4), 4811-4818, 2020 | 41 | 2020 |
| A dynamic pooling based convolutional neural network approach to detect chronic kidney disease B Navaneeth, M Suchetha Biomedical Signal Processing and Control 62, 102068, 2020 | 31 | 2020 |
| A computationally efficient correlational neural network for automated prediction of chronic kidney disease N Bhaskar, M Suchetha IRBM 42 (4), 268-276, 2021 | 20 | 2021 |
| An approach for analysis and prediction of CKD using deep learning architecture N Bhaskar, M Suchetha 2019 International Conference on Communication and Electronics Systems …, 2019 | 13 | 2019 |
| Automated detection of diabetes from exhaled human breath using deep hybrid architecture N Bhaskar, V Bairagi, E Boonchieng, MV Munot IEEE Access 11, 51712-51722, 2023 | 11 | 2023 |
| Analysis of salivary components as non-invasive biomarkers for monitoring chronic kidney disease N Bhaskar, M Suchetha International Journal of Medical Engineering and Informatics 12 (2), 95-107, 2020 | 7 | 2020 |
| Automated COVID-19 Detection From Exhaled Human Breath Using CNN-CatBoost Ensemble Model N Bhaskar, V Bairagi, MV Munot, KM Gaikwad, ST Jadhav IEEE Sensors Letters, 2023 | 5 | 2023 |
| Computer-aided automated detection of kidney disease using supervised learning technique N Bhaskar, P Tupe-Waghmare, SS Nikam, R Khedkar International Journal of Electrical and Computer Engineering (IJECE) 13 (5 …, 2023 | 3 | 2023 |
| Advancing Paddy Crop Productivity using Deep Learning Ensemble Approach S Athinarayanan, MR Kumar, BR Devi, N Bhaskar, P Tupe-Waghmare, ... 2024 Second International Conference on Data Science and Information System …, 2024 | | 2024 |
| A Multi-task CNN Model for Automated Prediction of Isocitrate Dehydrogenase Mutation Status and Grade of Gliomas. P Tupe-Waghmare, SV Adithya, N Bhaskar Mathematical Modelling of Engineering Problems 11 (5), 2024 | | 2024 |
| CNN-CatBoost ensemble deep learning model for enhanced disease detection and classification of kidney disease N Bhaskar, RR Borhade, S Barekar, M Bachute, V Bairagi Indonesian Journal of Electrical Engineering and Computer Science 34 (1 …, 2024 | | 2024 |
| An efficient convolutional neural network-extreme gradient boosting hybrid deep learning model for disease detection applications N Bhaskar, AM Ajithkumar, P Tupe-Waghmare International Journal of Electrical and Computer Engineering (IJECE) 14 (2 …, 2024 | | 2024 |
| A Deep Learning Hybrid Approach for Automated Leaf Disease Identification in Paddy Crops N Bhaskar, P Tupe-Waghmare, P Shetty, SS Shetty, T Rai 2024 International Conference on Distributed Computing and Optimization …, 2024 | | 2024 |
| Real-Time Remote-Controlled Wheelchair with Wi-Fi Integration and Obstacle Detection for the Disabled and Elderly People N Bhaskar, PT Waghmare, BM Shrinidhi, OV Pereira, M Hussain, ... 2024 2nd International Conference on Intelligent Data Communication …, 2024 | | 2024 |
| Deep Learning Framework for Automated Drug Resistance Prediction of Tuberculosis Using Computed Tomography Images N Bhaskar, PT Waghmare, VA Sairam 2023 International Conference on Next Generation Electronics (NEleX), 1-5, 2023 | | 2023 |
| An Effective Prediction and Recommendation System for Smart Farming using Machine Learning Techniques N Bhaskar, P Tune-Waghmare, R Kumble, PS Shetty, S Shetty, S Shetty 2023 International Conference on Integration of Computational Intelligent …, 2023 | | 2023 |
Nada PhilipAssociate Professor, Kingston university在 kingston.ac.uk 的电子邮件经过验证
