Applied Intelligence Live

For the 8th consecutive year, University of Split (FESB) is organizing 4-day scientific/professional/industry conference that will take place in Split and Bol (island of Brac), Croatia, together with the virtual access to the conference, June 20-23, 2023. Participants are encouraged to submit proposals related to the fields of the topics: IoT, RFID, Smart Cities, Energy and Health.

2023 5th Blockchain and Internet of Things Conference (BIOTC 2023) aims to provide a forum for researchers, practitioners, and professionals from the industry, academia and government to discourse on research and development, professional practice in Blockchain and Internet of Thing. BIOTC 2023 will be held in Osaka, Japan during July 21-23, 2023. Welcome scholars and researchers working in the field of Blockchain and Internet of Things from all over the world to attend the conference and share your experiences and lessons with other enthusiasts, and develop opportunities for cooperation.

SSCt2023 is the International Conference on Sustainable Smart Cities and Territories, an open symposium which brings together researchers and developers from academia and industry to present and discuss the latest scientific and technical advances in the fields of Smart Cities and Smart Territories. It will promote an environment for discussion on how techniques, methods, and tools help system designers to accomplish the transition from the current cities towards those we need in a changing world. Brand new ideas will be greatly appreciated as well as relevant revisions and actualizations of previously presented work, project summaries and PhD thesis. The SSCt2023 program will include keynote addresses, a main technical track, a workshop program and doctoral consortium.

Device-free wireless sensing has recently attracted a lot of attention thanks to its non-intrusive and sensor-free nature. Contrary to the traditional sensor-based and wearable sensing, wireless sensing does not need any sensors but leverages the signal distortions and machine learning algorithms for sensing. Moreover, wireless signals can propagate through walls which allows sensing to be performed even in non-line-of sight (NLOS) scenarios which increases the sensing coverage over camera-based systems. Different types of wireless signals have been employed for sensing including WiFi, RFID, mmWave, UWB, and acoustic signals. As wireless signals bounce off of physical objects within the environment such as static objects like walls or furniture as well as any humans in the environment, their characteristics (e.g., amplitude, phase) change uniquely. This then provides an opportunity to sense the environment and obtain contextual information (e.g., recognizing the motion) through a fine-grained analysis of signal variations. Wireless sensing has been considered in various applications including but not limited to localization, human activity and gesture recognition, gait estimation, fall detection, respiration monitoring and crowd counting.