| Raspberry Pi as Visual Sensor Nodes in Precision Agriculture: A Study. R Kamath, M Balachandra, S Prabhu Ieee Access 7 (0), 45110-45122, 2019 | 73 | 2019 |
| Clinical and laboratory approach to diagnose COVID-19 using machine learning K Chadaga, C Chakraborty, S Prabhu, S Umakanth, V Bhat, N Sampathila Interdisciplinary sciences: Computational life sciences 14 (2), 452-470, 2022 | 44 | 2022 |
| Improving the performance of convolutional neural network for the segmentation of optic disc in fundus images using attention gates and conditional random fields BJ Bhatkalkar, DR Reddy, S Prabhu, SV Bhandary IEEE Access 8, 29299-29310, 2020 | 43 | 2020 |
| A peer to peer money transfer using SHA256 and Merkle tree S Dhumwad, M Sukhadeve, C Naik, KN Manjunath, S Prabhu 2017 23RD Annual International Conference in Advanced Computing and …, 2017 | 43 | 2017 |
| Diagnosing COVID-19 using artificial intelligence: A comprehensive review VV Khanna, K Chadaga, N Sampathila, S Prabhu, R Chadaga, ... Network Modeling Analysis in Health Informatics and Bioinformatics 11 (1), 25, 2022 | 36 | 2022 |
| Customized deep learning classifier for detection of acute lymphoblastic leukemia using blood smear images N Sampathila, K Chadaga, N Goswami, RP Chadaga, M Pandya, ... Healthcare 10 (10), 1812, 2022 | 32 | 2022 |
| A distinctive explainable machine learning framework for detection of polycystic ovary syndrome VV Khanna, K Chadaga, N Sampathila, S Prabhu, V Bhandage, ... Applied System Innovation 6 (2), 32, 2023 | 30 | 2023 |
| AI-assisted tuberculosis detection and classification from chest X-rays using a deep learning normalization-free network model V Acharya, G Dhiman, K Prakasha, P Bahadur, A Choraria, ... Computational Intelligence and Neuroscience 2022, 2022 | 30 | 2022 |
| Classification of malaria using object detection models P Krishnadas, K Chadaga, N Sampathila, S Rao, SK S, S Prabhu Informatics 9 (4), 76, 2022 | 27 | 2022 |
| Battling COVID-19 using machine learning: A review K Chadaga, S Prabhu, BK Vivekananda, S Niranjana, S Umakanth Cogent Engineering 8 (1), 1958666, 2021 | 27 | 2021 |
| Supervised learning models for the preliminary detection of COVID-19 in patients using demographic and epidemiological parameters A Pradhan, S Prabhu, K Chadaga, S Sengupta, G Nath Information 13 (7), 330, 2022 | 26 | 2022 |
| Crop and weed discrimination using Laws’ texture masks R Kamath, M Balachandra, S Prabhu International Journal of Agricultural and Biological Engineering 13 (1), 191-197, 2020 | 25 | 2020 |
| An overview of clustering analysis techniques used in data mining S Ansari, S Chetlur, S Prabhu, GN Kini, G Hegde, Y Hyder International Journal of Emerging Technology and Advanced Engineering 3 (12 …, 2013 | 25 | 2013 |
| Application of artificial intelligence techniques for monkeypox: a systematic review K Chadaga, S Prabhu, N Sampathila, S Nireshwalya, SS Katta, RS Tan, ... Diagnostics 13 (5), 824, 2023 | 24 | 2023 |
| Paddy crop and weed discrimination: A multiple classifier system approach R Kamath, M Balachandra, S Prabhu International Journal of Agronomy 2020, 1-14, 2020 | 24 | 2020 |
| Automated fundus image quality assessment and segmentation of optic disc using convolutional neural networks B Bhatkalkar, A Joshi, S Prabhu, S Bhandary International Journal of Electrical and Computer Engineering 10 (1), 816-827, 2020 | 23 | 2020 |
| A decision support system for diagnosis of COVID-19 from non-COVID-19 influenza-like illness using explainable artificial intelligence K Chadaga, S Prabhu, V Bhat, N Sampathila, S Umakanth, R Chadaga Bioengineering 10 (4), 439, 2023 | 22 | 2023 |
| Medical diagnosis of COVID-19 using blood tests and machine learning K Chadaga, S Prabhu, K Vivekananda Bhat, S Umakanth, N Sampathila Journal of Physics: Conference Series 2161 (1), 012017, 2022 | 22 | 2022 |
| An effective method for preventing SQL injection attack and session hijacking K D'silva, J Vanajakshi, KN Manjunath, S Prabhu 2017 2nd IEEE International Conference on Recent Trends in Electronics …, 2017 | 22 | 2017 |
| COVID-19 mortality prediction among patients using epidemiological parameters: an ensemble machine learning approach K Chadaga, S Prabhu, S Umakanth, K Bhat, N Sampathila, R Chadaga Engineered Science 16, 221-233, 2021 | 20 | 2021 |
Radhika KamathAssistant Professor of Computer Science, Manipal Institute of Technology, Indiamanipal.edu의 이메일 확인됨
