Special Issue “Multimodal Sensing Technologies for IoT and AI-Enabled Systems”
In today’s world, multimodal data and sensing technologies have emerged as crucial components within the Internet of Things (IoT) and artificial intelligence (AI) paradigms, influencing multiple fields, from healthcare to industry, media, education, robotics, transportation, and environmental monitoring, shaping broader multidisciplinary research and application projects. Due to time, location and contextual awareness, integrating IoT with AI has led to enhanced smart systems capable of performing complex tasks autonomously, thereby contributing to the development of intelligent societies. This Special Issue aims to bring together cutting-edge research and the latest advancements in multimodal sensing technologies, IoT, and AI-enabled systems, combining imaging applications, audiovisual reaction monitoring, and broader sensing technologies (e.g., temperature, humidity, air pollution, interaction recording, etc.), thus forming multimodal fusion decision systems. The proposed Special Issue is an excellent match to the objectives of Sensors, in addition to aligning itself perfectly with the journal’s multidisciplinary nature.
We encourage the submission of high-quality papers demonstrating these technologies’ potential to shape our future, drive innovation, and offer solutions to real-world problems. Authors are invited to submit original research works, viewpoint articles, case studies, reviews, theoretical, and critical perspectives.
Find the topics of interest and other information at the following link: https://www.mdpi.com/journal/sensors/special_issues/T1G1Y2K445
Dr. Emmanouil Tsardoulias
Prof. Dr. Charalampos Dimoulas
Prof. Dr. Andreas L. Symeonidis
