Advanced Sensing Technologies in Automation and Computer Sciences

Dear Colleagues,

Perception is a key element in automation and computer sciences. Sensing technologies are a fundamental part of perception and data acquisition processes and have notably evolved during recent years. The rapid development of advanced sensors and relevant sensing technologies has facilitated the booming of the era of big data and artificial intelligence, providing a foundation for new paradigms in information perception and data acquisition. Research on intelligent sensing systems, technologies, algorithms, and approaches has attracted considerable attention, promoting applications in intelligent transportation, autonomous vehicles, advanced robots, wireless sensor networks, and the Internet of Things.

This Special Issue is associated with the 10th International Conference on Control, Automation and Information Sciences (https://www.iccais2021.com/) to be held in Xi’an, China, 14^th–17^th October 2021. Accepted papers will be invited for poster or oral presentations at the conference.

This Special Issue fits with the scope of Sensors, paying attention to recent advances and trends in sensing technologies’ algorithms, and approaches in the field of automation engineering and computer/information sciences, highlighting the importance of sensing technologies in information perception, acquisition, mining, and fusion processes. It seeks the latest findings from theoretical research and ongoing projects. Additionally, review articles that provide readers with current research trends and solutions are also welcome. The potential topics include, but are not limited to, the following:

• Knowledge graphs for sensing technologies;
• Machine learning for sensing technologies;
• Software platforms and frameworks for mobile sensing;
• Advanced sensing technologies;
• Artificial intelligence for sensing technologies;
• Intelligent control with sensing technologies;
• Data mining and information fusion;
• Sensor data acquisition and perception;
• Data science for sensing technologies;
• Sensor management;
• Intelligent data clustering/fusion;
• Sensor network systems and applications;
• Intelligent transportation and autonomous vehicles.

This special issue is focused more on automation. Papers focus on Sensors may choose our Joint Special Issue in Sensors (ISSN 1424-8220, IF 3.275).

Prof. Dr. Javier Bajo
Dr. Yun Zhu
Dr. Emilio Serrano
Prof. Dr. Tiancheng Li
Guest Editors

Manuscript Submission Information

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