Wong, K. L., Tse, R., Tang, S.-K., & Pau, G. (2024). Decentralized Deep Learning Approach for Lithium-Ion Batteries State of Health Forecasting Using Federated Learning. IEEE Transactions on Transportation Electrification, 1–1. https://doi.org/10.1109/tte.2024.3354551
Wong, K. L., Chou, K. S., Tse, R., Tang, S. K., & Pau, G. (2023). A novel fusion approach consisting of GAN and state-of-charge estimator for synthetic battery operation data generation. Electronics, 12(3), 657.
Wong, K. L., Chou, K. S., Aguiari, D., Tse, R., Tang, S. K., & Pau, G. (2022, December). Identifying Degradation Indicators for Electric Vehicle Battery Based on Field Testing Data. In 2022 IEEE Electrical Power and Energy Conference (EPEC) (pp. 206-211). IEEE.
Wong, K. L., Bosello, M., Tse, R., Falcomer, C., Rossi, C., & Pau, G. (2021, September). Li-ion batteries state-of-charge estimation using deep lstm at various battery specifications and discharge cycles. In Proceedings of the conference on information technology for social good (pp. 85-90).
Chou, K. S., Wong, T. L., Wong, K. L., Shen, L., Davide Aguiari, Tse, R., Tang, S.-K., & Pau, G. (2023). A Lightweight Robust Distance Estimation Method for Navigation Aiding in Unsupervised Environment Using Monocular Camera. Applied Sciences, 13(19), 11038–11038. https://doi.org/10.3390/app131911038
Chou, K. S., Wong, K. L., Zhang, B., Aguiari, D., Im, S. K., Lam, C. T., ... & Pau, G. (2023). Taxi Demand and Fare Prediction with Hybrid Models: Enhancing Efficiency and User Experience in City Transportation. Applied Sciences, 13(18), 10192.
Chou, K. S., Wong, K. L., Aguiari, D., Tse, R., Tang, S. K., & Pau, G. (2023). Recognition of Driving Behavior in Electric Vehicle’s Li-Ion Battery Aging. Applied Sciences, 13(9), 5608.
Wong, T.-L., Chou, K.-S., Wong, K.-L., & Tang, S.-K. (2023). Dataset of Public Objects in Uncontrolled Environment for Navigation Aiding. Data, 8(2), 42. https://doi.org/10.3390/data8020042
Chou, K. S., Wong, K. L., Aguiari, D., Tse, R., Tang, S. K., & Pau, G. (2022, December). Forecasting the Temperature of BEV Battery Pack Based on Field Testing Data. In International Conference on Edge Computing and IoT (pp. 3-17). Cham: Springer Nature Switzerland.
