Artificial Intelligence in Sensors

Dear Colleagues,

This topic comprises several interdisciplinary research areas that cover the main aspects of sensor sciences.

There has been an increase in both the capabilities and challenges related within numerous application fields, e.g., Robotics, Industry 4.0, Automotive, Smart Cities, Medicine, Diagnosis, Food, Telecommunication, Environmental and Civil Applications, Health, and Security.

The associated applications constantly require novel sensors to improve their capabilities and challenges. Thus, Sensor Sciences represents a paradigm characterized by the integration of modern nanotechnologies and nanomaterials into manufacturing and industrial practice to develop tools for several application fields. The primary underlying goal of Sensor Sciences is to facilitate the closer interconnection and control of complex systems, machines, devices, and people to increase the support provided to humans in several application fields.

Sensor Sciences comprises a set of significant research fields, including:

• Chemical Sensors;
• Biosensors;
• Physical Sensors;
• Optical Sensors;
• Microfluidics;
• Sensor Networks;
• Electronics and Mechanicals;
• Mechatronics;
• Internet of Things platforms and their applications;
• Materials and Nanomaterials;
• Data Security;
• Artificial Intelligence;
• Robotics;
• UAV; UGV;
• Remote Sensing;
• Measurement Science and Technology;
• Cognitive Computing Platforms and Applications, including technologies related to Artificial Intelligence, Machine Learning, as well as Big Data Processing and Analytics;
• Advanced Interactive Technologies, including Augmented/Virtual Reality;
• Advanced Data Visualization Techniques;
• Instrumentation Science and Technology;
• Nanotechnology;
• Organic Electronics, Biophotonics, and Smart Materials;
• Optoelectronics, Photonics, and Optical fibers;
• MEMS, Microwaves, and Acoustic waves;
• Physics and Biophysics;
• Interdisciplinary Sciences.

This topic aims to collect the results of research in these fields and others. Therefore, submitting papers within those areas connected to sensors is strongly encouraged.

Prof. Dr. Yangquan Chen
Prof. Dr. Subhas Mukhopadhyay
Prof. Dr. Nunzio Cennamo
Prof. Dr. M. Jamal Deen
Dr. Junseop Lee
Prof. Dr. Simone Morais
Topic Editors