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All Outputs (3)

Deep learning based customer preferences analysis in industry 4.0 environment (2021)
Journal Article
Sun, Q., Feng, X., Zhao, S., Cao, H., Li, S., & Yao, Y. (2021). Deep learning based customer preferences analysis in industry 4.0 environment. Mobile Networks and Applications, 26, 2329–2340. https://doi.org/10.1007/s11036-021-01830-5

Customer preferences analysis and modelling using deep learning in edge computing environment are critical to enhance customer relationship management that focus on a dynamically changing market place. Existing forecasting methods work well with ofte... Read More about Deep learning based customer preferences analysis in industry 4.0 environment.

Blockchain enabled industrial Internet of Things technology (2019)
Journal Article
Zhao, S., Li, S., & Yao, Y. (2019). Blockchain enabled industrial Internet of Things technology. IEEE Transactions on Computational Social Systems, 6(6), 1442-1453. https://doi.org/10.1109/TCSS.2019.2924054

The emerging blockchain technology shows promising potential to enhance industrial systems and the Internet of things (IoT) by providing applications with redundancy, immutable storage, and encryption. In the past a few years, many more applications... Read More about Blockchain enabled industrial Internet of Things technology.

Robust finite-time control approach for robotic manipulators (2010)
Journal Article
Gao, F., Zhao, D., Li, S., & Zhu, Q. (2010). Robust finite-time control approach for robotic manipulators. IET Control Theory and Applications, 4(1), 1-15. https://doi.org/10.1049/iet-cta.2008.0014

In this study, a new robust finite-time stability control approach for robot systems is developed based on finite-time Lyapunov stability principle and proved with backstepping method. The corresponding stability analysis is presented to lay a founda... Read More about Robust finite-time control approach for robotic manipulators.