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All Outputs (3)

Wearable sensor-based human activity recognition using hybrid deep learning techniques (2020)
Journal Article
Wang, H., Zhao, J., Li, J., Tian, L., Tu, P., Cao, T., …Li, S. (2020). Wearable sensor-based human activity recognition using hybrid deep learning techniques. Security and Communication Networks, 2020, Article 2132138. https://doi.org/10.1155/2020/2132138

Human activity recognition (HAR) can be exploited to great benefits in many applications, including elder care, health care, rehabilitation, entertainment, and monitoring. Many existing techniques, such as deep learning, have been developed for speci... Read More about Wearable sensor-based human activity recognition using hybrid deep learning techniques.

Computational intelligence-enabled cybersecurity for the Internet of Things (2020)
Journal Article
Zhao, S., Li, S., Qi, L., & Xu, L. D. (2020). Computational intelligence-enabled cybersecurity for the Internet of Things. IEEE Transactions on Emerging Topics in Computational Intelligence, 4(5), 666-674. https://doi.org/10.1109/TETCI.2019.2941757

The computational intelligence (CI) based technologies play key roles in campaigning cybersecurity challenges in complex systems such as the Internet of Things (IoT), cyber-physical-systems (CPS), etc. The current IoT is facing increasingly security... Read More about Computational intelligence-enabled cybersecurity for the Internet of Things.

Multi-dimensional quality-driven service recommendation with privacy-preservation in mobile edge environment (2020)
Journal Article
Zhong, W., Yin, X., Zhang, X., Li, S., Dou, W., Wang, R., & Qi, L. (2020). Multi-dimensional quality-driven service recommendation with privacy-preservation in mobile edge environment. Computer Communications, 157, 116-123. https://doi.org/10.1016/j.comcom.2020.04.018

© 2020 Elsevier B.V. With the advance of mobile edge computing (MEC), the number of edge services running on mobile devices grows explosively. In this situation, it is becoming a necessity to recommend the most suitable edge services to a mobile user... Read More about Multi-dimensional quality-driven service recommendation with privacy-preservation in mobile edge environment.