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Arjun Neupane
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Journal Articles
- 2023
- [j11]Mohan Bhandari
, Arjun Neupane
, Saurav Mallik
, Loveleen Gaur
, Hong Qin
:
Auguring Fake Face Images Using Dual Input Convolution Neural Network. J. Imaging 9(1): 3 (2023) - [j10]Mohan Bhandari
, Tej Bahadur Shahi
, Arjun Neupane
, Kerry Brian Walsh
:
BotanicX-AI: Identification of Tomato Leaf Diseases Using an Explanation-Driven Deep-Learning Model. J. Imaging 9(2): 53 (2023) - [j9]Mohan Bhandari
, Tej Bahadur Shahi
, Arjun Neupane
:
Evaluating Retinal Disease Diagnosis with an Interpretable Lightweight CNN Model Resistant to Adversarial Attacks. J. Imaging 9(10): 219 (2023) - [j8]Top Bahadur Pun
, Arjun Neupane
, Richard Koech:
A Deep Learning-Based Decision Support Tool for Plant-Parasitic Nematode Management. J. Imaging 9(11): 240 (2023) - [j7]Tej Bahadur Shahi
, Cheng-Yuan Xu, Arjun Neupane
, William Guo
:
Recent Advances in Crop Disease Detection Using UAV and Deep Learning Techniques. Remote. Sens. 15(9): 2450 (2023) - 2022
- [j6]Top Bahadur Pun
, Arjun Neupane
, Richard Koech, Kirsty J. Owen
:
Detection and Quantification of Root-Knot Nematode (Meloidogyne Spp.) Eggs in Tomato Plants Using Image Analysis. IEEE Access 10: 123190-123204 (2022) - [j5]Mohan Bhandari
, Tej Bahadur Shahi
, Birat Siku
, Arjun Neupane
:
Explanatory classification of CXR images into COVID-19, Pneumonia and Tuberculosis using deep learning and XAI. Comput. Biol. Medicine 150: 106156 (2022) - [j4]Nirmal Chaudhary, Tej Bahadur Shahi
, Arjun Neupane
:
Secure Image Encryption Using Chaotic, Hybrid Chaotic and Block Cipher Approach. J. Imaging 8(6): 167 (2022) - 2014
- [j3]Arjun Neupane, Jeffrey Soar, Kishor Vaidya:
An Empirical Evaluation Of The Potential Of Public E-Procurement To Reduce Corruption. Australas. J. Inf. Syst. 18(2) (2014) - 2012
- [j2]Arjun Neupane, Jeffrey Soar
, Kishor Vaidya:
Evaluating the Anti-Corruption Capabilities of Public e-Procurement in a Developing Country. Electron. J. Inf. Syst. Dev. Ctries. 55(1): 1-17 (2012) - [j1]Arjun Neupane, Jeffrey Soar
, Kishor Vaidya:
The potential of e-procurement technology for reducing corruption. Int. J. Inf. Technol. Manag. 11(4): 273-287 (2012)
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