All Outputs (4)

Processing and characterisation of water hyacinth cellulose nanofibres-based aluminium-ion battery separators (2021)
Presentation / Conference Contribution
Beg, M., Sun, D., Popescu, C., Alcock, K. M., Onyianta, A. J., O'Rourke, D., …Yu, H. (2021). Processing and characterisation of water hyacinth cellulose nanofibres-based aluminium-ion battery separators. In 2021 26th International Conference on Automat

Water hyacinth is an invasive plant that can be converted to high value cellulose nanofibers. This study presents battery separators prepared from water hyacinth cellulose nanofibres (WHCNF) via a freeze-thawing crosslinking method, using polyethylen... Read More about Processing and characterisation of water hyacinth cellulose nanofibres-based aluminium-ion battery separators.

User Emotion Direction for Recommendation Systems-A Decade Review (2021)
Presentation / Conference Contribution
Chanrueang, S., Thammaboosadee, S., Goh, K., & Yu, H. (2021). User Emotion Direction for Recommendation Systems-A Decade Review. In 2021 The 26th International Conference on Automation & Computing: System Intelligence through Automation & Computing. http

Recommendation systems are rapidly gaining popularity in software development, including e-commerce, news, advertising, social networking, and entertainment. It filters appropriate information for user decisions. The most popular approaches of recomm... Read More about User Emotion Direction for Recommendation Systems-A Decade Review.

Electromyographic Signal Based Dynamic Hand Gesture Recognition Using Transfer Learning (2021)
Presentation / Conference Contribution
Song, S., Yang, L., Huo, B., Wu, M., Liu, Y., & Yu, H. (2022). Electromyographic Signal Based Dynamic Hand Gesture Recognition Using Transfer Learning. In Proceedings of 2021 Chinese Intelligent Automation Conference (389-397). https://doi.org/10.1007/97

Recent years, the research of gesture recognition based on surface EMG signal has become an active topic. The conventional methods mainly focus on feature engineering, but the sEMG signal is non-stationary temporally, which makes proper feature desig... Read More about Electromyographic Signal Based Dynamic Hand Gesture Recognition Using Transfer Learning.

Observer-Based Adaptive Sliding Mode Control for Soft Actuators with Input Constraints (2021)
Presentation / Conference Contribution
Cao, G., Shi, H., Xia, D., Zheng, Y., Liu, Y., & Yu, H. (2022). Observer-Based Adaptive Sliding Mode Control for Soft Actuators with Input Constraints. In Proceedings of 2021 Chinese Intelligent Automation Conference (524-533). https://doi.org/10.1007/97

Fabricated by superelastic materials, soft actuators are an emerging field to provide a solution of safe interaction with complicated, unstructured and frequently brittle work environments, while they also bear challenges in fragility and controlling... Read More about Observer-Based Adaptive Sliding Mode Control for Soft Actuators with Input Constraints.