| Role of public e-procurement technology to reduce corruption in government procurement A Neupane, J Soar, K Vaidya, J Yong Proceedings of the 5th international public procurement conference (IPPC5), 2012 | 148 | 2012 |
| Stock price forecasting with deep learning: A comparative study TB Shahi, A Shrestha, A Neupane, W Guo Mathematics 8 (9), 1441, 2020 | 109 | 2020 |
| Willingness to adopt e-procurement to reduce corruption: Results of the PLS Path modeling A Neupane, J Soar, K Vaidya, J Yong Transforming Government: People, Process and Policy 8 (4), 500-520, 2014 | 88 | 2014 |
| Fruit classification using attention-based MobileNetV2 for industrial applications TB Shahi, C Sitaula, A Neupane, W Guo Plos one 17 (2), e0264586, 2022 | 86 | 2022 |
| An empirical evaluation of the potential of public e-procurement to reduce corruption A Neupane, J Soar, K Vaidya Australasian Journal of Information Systems 18 (2), 21-44, 2014 | 86 | 2014 |
| Explanatory classification of CXR images into COVID-19, Pneumonia and Tuberculosis using deep learning and XAI M Bhandari, TB Shahi, B Siku, A Neupane Computers in Biology and Medicine 150, 106156, 2022 | 72 | 2022 |
| Recent advances in crop disease detection using UAV and deep learning techniques TB Shahi, CY Xu, A Neupane, W Guo Remote Sensing 15 (9), 2450, 2023 | 67 | 2023 |
| Evaluating the anti‐corruption capabilities of public e‐procurement in a developing country A Neupane, J Soar, K Vaidya The Electronic Journal of Information Systems in Developing Countries 55 (1 …, 2012 | 48 | 2012 |
| The potential of e-procurement technology for reducing corruption A Neupane, J Soar, K Vaidya International Journal of Information Technology and Management 11 (4), 273-287, 2012 | 46 | 2012 |
| Secure image encryption using chaotic, hybrid chaotic and block cipher approach N Chaudhary, TB Shahi, A Neupane Journal of Imaging 8 (6), 167, 2022 | 32 | 2022 |
| Botanicx-ai: Identification of tomato leaf diseases using an explanation-driven deep-learning model M Bhandari, TB Shahi, A Neupane, KB Walsh Journal of Imaging 9 (2), 53, 2023 | 22 | 2023 |
| Machine learning methods for precision agriculture with UAV imagery: a review TB Shahi, CY Xu, A Neupane, W Guo Electronic Research Archive 30 (12), 4277-4317, 2022 | 21 | 2022 |
| Auguring fake face images using dual input convolution neural network M Bhandari, A Neupane, S Mallik, L Gaur, H Qin Journal of Imaging 9 (1), 3, 2022 | 16 | 2022 |
| Anti-corruption capabilities of public e-procurement technologies: principal-agent theory A Neupane, J Soar, K Vaidya Public Affairs and Administration: Concepts, Methodologies, Tools, and …, 2015 | 16 | 2015 |
| Detection and counting of root-knot nematodes using YOLO models with mosaic augmentation TB Pun, A Neupane, R Koech, K Walsh Biosensors and Bioelectronics: X 15, 100407, 2023 | 10 | 2023 |
| The potential of public e-procurement technology to reduce corruption in public procurement A Neupane University of Southern Queensland, 2014 | 8 | 2014 |
| The potential for ICT tools to promote public participation in fighting corruption A Neupane, J Soar, K Vaidya, S Aryal Human rights and the impact of ICT in the public sphere: Participation …, 2014 | 8 | 2014 |
| Deep Learning-Based Weed Detection Using UAV Images: A Comparative Study TB Shahi, S Dahal, C Sitaula, A Neupane, W Guo Drones 7 (10), 624, 2023 | 7 | 2023 |
| Peanut yield prediction with UAV multispectral imagery using a cooperative machine learning approach TB Shahi, CY Xu, A Neupane, DB Fleischfresser, DJ O'Connor, GC Wright, ... Electronic Research Archive 31 (6), 3343-3361, 2023 | 7 | 2023 |
| The evolution of chemometrics coupled with near infrared spectroscopy for fruit quality evaluation. II. The rise of convolutional neural networks J Walsh, A Neupane, A Koirala, M Li, N Anderson Journal of Near Infrared Spectroscopy 31 (3), 109-125, 2023 | 6 | 2023 |
Tej Bahadur ShahiQueensland University of Technology在 cdcsit.edu.np 的电子邮件经过验证
