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All Outputs (4)

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.

Distributed consensus algorithm for events detection in cyber-physical systems (2019)
Journal Article
Li, S., Zhao, S., Yang, P., Andriotis, P., Xu, L., & Sun, Q. (2019). Distributed consensus algorithm for events detection in cyber-physical systems. IEEE Internet of Things, 6(2), 2299-2308. https://doi.org/10.1109/JIOT.2019.2906157

In the harsh environmental conditions of cyber-physical systems (CPSs), the consensus problem seems to be one of the central topics that affect the performance of consensus-based applications, such as events detection, estimation, tracking, blockchai... Read More about Distributed consensus algorithm for events detection in cyber-physical systems.

Dynamic Security Risk Evaluation via Hybrid Bayesian Risk Graph in Cyber-Physical Social Systems (2018)
Journal Article
Li, S., Zhao, S., Yuan, Y., Sun, Q., & Zhang, K. (2018). Dynamic Security Risk Evaluation via Hybrid Bayesian Risk Graph in Cyber-Physical Social Systems. IEEE Transactions on Computational Social Systems, 5(4), 1133-1141. https://doi.org/10.1109/TCSS.2018.2858440

© 2014 IEEE. Cyber-physical social system (CPSS) plays an important role in both the modern lifestyle and business models, which significantly changes the way we interact with the physical world. The increasing influence of cyber systems and social n... Read More about Dynamic Security Risk Evaluation via Hybrid Bayesian Risk Graph in Cyber-Physical Social Systems.

5G Internet of Things: A survey (2018)
Journal Article
Li, S., Xu, L. D., & Zhao, S. (2018). 5G Internet of Things: A survey. Journal of Industrial Information Integration, 10, 1-9. https://doi.org/10.1016/j.jii.2018.01.005

© 2018 The existing 4G networks have been widely used in the Internet of Things (IoT) and is continuously evolving to match the needs of the future Internet of Things (IoT) applications. The 5G networks are expected to massive expand today's IoT that... Read More about 5G Internet of Things: A survey.