… wireless sensing scenarios. We also discuss some open research issues in wireless sensing
… signals from commercial devices, multimodal sensing, simultaneous user identification and …

… learning based wireless sensing field and study the feasibility of leveraging two new types
of deep learning networks to realize wireless sensing … deep learning based wireless sensing …

… lead to an increased focus on research in Wireless Sensor Networks (WSNs). Due to the
energy-constrained nature of the sensor nodes, researchers have been working on devising …

… theoretical aspects of wireless sensor networks and offers readers signal processing and
communication perspectives on the design of large-scale networks. It explains state-of-the-art …

… Wireless sensor … or wireless networks. It can also be used as a textbook for self-study by
professionals who are not working in the field but would like to learn more about wireless sensor …

… Wireless sensing big data analysis … His research interests include wireless localization
and tracking, wireless sensing, wireless networks, and machine learning. He serves as an …

… networks in addition to wireless sensor networks. … wireless sensor networks. Therefore, we
instead cover the important issue of the implementation of GPS/INS-enabled wireless sensor …

… of EL techniques in wireless communications, as well as … wireless communication resource
allocation. In particular, dual-functional performance metrics are discussed for both learning …

… Machine learning also inspires many practical solutions that maximize resource utilization
… of machine learning methods that were used to address common issues in wireless sensor …

… Clustering and data aggregation in wireless sensor networks using machine learning
algorithms. In Proceedings of the 2018 International Conference on Recent Trends in Advanced …