Dr Xinhui Ma

Intelligent digital twin - machine learning system for real-time wind turbine wind speed and power generation forecasting

Tuton, E., Ma, X., & Dethlefs, N. (2023). Intelligent digital twin - machine learning system for real-time wind turbine wind speed and power generation forecasting. . https://doi.org/10.1051/e3sconf/202343301008

A Multi-Modal Deep Learning Approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer's Disease

Rana, S. S., Ma, X., Pang, W., & Wolverson, E. (2020). A Multi-Modal Deep Learning Approach to the Early Prediction of Mild Cognitive Impairment Conversion to Alzheimer's Disease. In 2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) (9-18). https://doi.org/10.1109/BDCAT50828.2020.00013

Redefining Digital Twins – A Wind Energy Operations and Maintenance Perspective

Tuton, E., Ma, X., & Dethlefs, N. (2024). Redefining Digital Twins – A Wind Energy Operations and Maintenance Perspective. Journal of Physics: Conference Series, 2767(5), Article 052001. https://doi.org/10.1088/1742-6596/2767/5/052001

Patient specific training: development of a CT-based mixed reality fibreoptic intubation simulator

Wright, D., Ma, X., Atkin, W., Wang, L., Fagan, M., & Wellbelove, Z. (2022). Patient specific training: development of a CT-based mixed reality fibreoptic intubation simulator. International Journal of Healthcare Simulation, 2(1), A86. https://doi.org/10.54531/QOJS8275

GANS-based data augmentation for citrus disease severity detection using deep learning

Zeng, Q., Ma, X., Cheng, B., Zhou, E., & Pang, W. (2020). GANS-based data augmentation for citrus disease severity detection using deep learning. IEEE Access, 8, 172882-172891. https://doi.org/10.1109/ACCESS.2020.3025196