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Arjun Neupane, PhD
Arjun Neupane, PhD
School of Engineering and Technology, CQUniversity Australia
Verified email at cqu.edu.au - Homepage
Title
Cited by
Cited by
Year
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
1502012
Stock price forecasting with deep learning: A comparative study
TB Shahi, A Shrestha, A Neupane, W Guo
Mathematics 8 (9), 1441, 2020
1212020
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
972023
Fruit classification using attention-based MobileNetV2 for industrial applications
TB Shahi, C Sitaula, A Neupane, W Guo
Plos one 17 (2), e0264586, 2022
902022
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
902014
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
892014
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
782022
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
482012
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
472012
Secure image encryption using chaotic, hybrid chaotic and block cipher approach
N Chaudhary, TB Shahi, A Neupane
Journal of Imaging 8 (6), 167, 2022
362022
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
272022
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
252023
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
172022
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
162015
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
122023
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
122023
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
82023
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
82023
The potential of public e-procurement technology to reduce corruption in public procurement
A Neupane
University of Southern Queensland, 2014
82014
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
82014
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Articles 1–20