| Deep learning approach for recognition and classification of yield affecting paddy crop stresses using field images BS Anami, NN Malvade, S Palaiah Artificial intelligence in agriculture 4, 12-20, 2020 | 138 | 2020 |
| A combined color, texture and edge features based approach for identification and classification of indian medicinal plants BS Anami, SS Nandyal, A Govardhan International Journal of Computer Applications 6 (12), 45-51, 2010 | 108 | 2010 |
| Classification of yield affecting biotic and abiotic paddy crop stresses using field images BS Anami, NN Malvade, S Palaiah Information Processing in Agriculture 7 (2), 272-285, 2020 | 96 | 2020 |
| Recognition and classification of food grains, fruits and flowers using machine vision DG Savakar, BS Anami International Journal of Food Engineering 5 (4), 2009 | 64 | 2009 |
| Identification and classification of normal and affected agriculture/horticulture produce based on combined color and texture feature extraction BS Anami, JD Pujari, R Yakkundimath International Journal of Computer Applications in Engineering Sciences 1 (3 …, 2011 | 63 | 2011 |
| Classification of rice diseases using convolutional neural network models R Yakkundimath, G Saunshi, B Anami, S Palaiah Journal of The Institution of Engineers (India): Series B 103 (4), 1047-1059, 2022 | 54 | 2022 |
| Diabetic foot ulcer detection using deep learning approaches PN Thotad, GR Bharamagoudar, BS Anami Sensors International 4, 100210, 2023 | 52 | 2023 |
| Automated recognition and classification of adulteration levels from bulk paddy grain samples BS Anami, NN Malvade, S Palaiah Information processing in agriculture 6 (1), 47-60, 2019 | 50 | 2019 |
| Comparision and analysis of photo image forgery detection techniques S Murali, GB Chittapur, BS Anami arXiv preprint arXiv:1302.3119, 2013 | 43 | 2013 |
| Fractals based multi-oriented text detection system for recognition in mobile video images P Shivakumara, L Wu, T Lu, CL Tan, M Blumenstein, BS Anami Pattern Recognition 68, 158-174, 2017 | 41 | 2017 |
| Effect of foreign bodies on recognition and classification of bulk food grains image samples AS Basavaraj, SG Dayanand Journal of Applied Computer Science & Mathematics 3 (2), 77-83, 2009 | 38 | 2009 |
| A neural network model for classification of bulk grain samples based on color and texture BS Anami, DG Savakar, A Makandar, PH Unki Proceedings of International Conference on Cognition and Recognition, held …, 2005 | 36 | 2005 |
| A comparative study of suitability of certain features in classification of bharatanatyam mudra images using artificial neural network BS Anami, VA Bhandage Neural Processing Letters 50 (1), 741-769, 2019 | 35 | 2019 |
| A fuzzy statistical approach of Kannada Vowel Recognition based on Invariant Moments P Nagabhushan, SA Angadi, BS Anami Proceedings of NCDAR-2003, Mandy, Karnataka, India, pp275-285, 2003 | 35 | 2003 |
| Diabetes disease detection and classification on Indian demographic and health survey data using machine learning methods PN Thotad, GR Bharamagoudar, BS Anami Diabetes & Metabolic Syndrome: Clinical Research & Reviews 17 (1), 102690, 2023 | 34 | 2023 |
| Wavelet-based acoustic analysis for determining health condition of motorized two-wheelers BS Anami, VB Pagi, SM Magi Applied acoustics 72 (7), 464-469, 2011 | 32 | 2011 |
| Behavior of HSI color co-occurrence features in variety recognition from bulk paddy grain image samples BS Anami, NM Naveen, NG Hanamaratti International Journal of Signal Processing, Image Processing and Pattern …, 2015 | 30 | 2015 |
| Efficient implementations for AES encryption and decryption RR Rachh, PVA Mohan, BS Anami Circuits, Systems, and Signal Processing 31, 1765-1785, 2012 | 30 | 2012 |
| Efficient implementations of S-box and inverse S-box for AES algorithm RR Rachh, BS Anami, PVA Mohan TENCON 2009-2009 IEEE Region 10 Conference, 1-6, 2009 | 30 | 2009 |
| Improved method for identification and classification of foreign bodies mixed food grains image samples B Anami, DG Savakar ICGST-AIML Journal 9 (1), 1-8, 2009 | 30 | 2009 |
