Sitoula, S., Shahi, T. B., Wibowo, S., & Neupane, A. (2025). Sentiment analysis of Nepali social media text with a hybrid deep learning model. Social Network Analysis and Mining, 15(1), 1-12. doi:10.1007/s13278-025-01508-w

Neupane, A., Paudel, N., Poudel, K., & Shahi, T. B. (2025). Examining adoption of mobile game in Nepal with extended TAM. International Journal of Business Information Systems, 49(2), 143-160. doi:10.1504/IJBIS.2025.146596

Neupane, A., Shahi, T., Cowling, M., & Tanna, D. (2024). Threading the GenAI needle: Unpacking the ups and downs of GenAI for higher education stakeholders. Journal of Applied Learning & Teaching, 7(2), 1-9. doi:10.37074/jalt.2024.7.2.4

Bhandari, M., Shahi, T. B., & Neupane, A. (2023). Evaluating Retinal Disease Diagnosis with an Interpretable Lightweight CNN Model Resistant to Adversarial Attacks. Journal of Imaging, 9(10), 1-20. doi:10.3390/jimaging9100219

Shahi, T. B., Dahal, S., Sitaula, C., Neupane, A., & Guo, W. (2023). Deep Learning-Based Weed Detection Using UAV Images: A Comparative Study. Drones, 7(10), 1-18. doi:10.3390/drones7100624

Shahi, T. B., Xu, C. -Y., Neupane, A., Fleischfresser, D. B., O’Connor, D. J., Wright, G. C., & Guo, W. (2023). Peanut yield prediction with UAV multispectral imagery using a cooperative machine learning approach. Electronic Research Archive, 31(6), 3343-3361. doi:10.3934/ERA.2023169

Shahi, T. B., Xu, C. -Y., Neupane, A., & Guo, W. (2023). Recent advances in crop disease detection using UAV and deep learning techniques. Remote Sensing, 15(9), 1-29. doi:10.3390/rs15092450

Shahi, T. B., Xu, C. -Y., Neupane, A., Fresser, D., O’Connor, D., Wright, G., & Guo, W. (2023). A cooperative scheme for late leaf spot estimation in peanut using UAV multispectral images. PLoS ONE, 18(3), 1-20. doi:10.1371/journal.pone.0282486

Bhandari, M., Shahi, T. B., Neupane, A., & Walsh, K. B. (2023). BotanicX-AI: Identification of tomato leaf diseases using an explanation-driven deep-learning model. Journal of Imaging, 9(2), 1-16. doi:10.3390/jimaging9020053

Bhandari, M., Shahi, T. B., Siku, B., & Neupane, A. (2022). Explanatory classification of CXR images into COVID-19, Pneumonia and Tuberculosis using deep learning and XAI. Computers in Biology and Medicine, 150, 1-12. doi:10.1016/j.compbiomed.2022.106156

Shahi, T. B., Xu, C. -Y., Neupane, A., & Guo, W. (2022). Machine learning methods for precision agriculture with UAV imagery: a review. Electronic Research Archive, 30(12), 4277-4317. doi:10.3934/era.2022218

Chaudhary, N., Shahi, T. B., & Neupane, A. (2022). Secure Image Encryption Using Chaotic, Hybrid Chaotic and Block Cipher Approach. Journal of Imaging, 8(6), 1-13. doi:10.3390/jimaging8060167

Shahi, T. B., Sitaula, C., Neupane, A., & Guo, W. (2022). Fruit classification using attention-based MobileNetV2 for industrial applications. PLoS ONE, 17(2), 1-21. doi:10.1371/journal.pone.0264586

Shahi, T. B., Shrestha, A., Neupane, A., & Guo, W. W. (2020). Stock price forecasting with deep learning: A comparative study. Mathematics, 8(9), 1-15. doi:10.3390/math8091441

Neupane, A., Shahi, T. B., Sitoula, S., Langat, P. K., & Walsh, K. (2025). Cyber security risk in smart agriculture in regional Australia. In B. Ray, J. Hassan, H. Huang, N. Islam, & Z. Shahadat (Eds.), Intelligent internet of everything for automated and sustainable farming (pp. 339-359). Hershey, PA: IGI Global. doi:10.4018/979-8-3373-0020-7.ch010

Shahi, T. B., Khadka, R. B., & Neupane, A. (2024). Applicability of UAV in crop health monitoring using machine learning techniques. In J. Hassan, & S. Alsamhi (Eds.), Applications of machine learning in UAV networks (pp. 246-262). Hershey, PA: IGI Global. doi:10.4018/979-8-3693-0578-2.ch010

Shahi, T. (2023). Utilising Drone Imagery to Assess the Peanut Quantity and Quality with Machine Learning Approaches. (CQUniversity).