Artificial Intelligence and Sensors

Dear Colleagues,

Sensors provide valuable data about physical magnitudes and environmental phenomena. However, the translation of these data into concrete actions requires processing the inputs that may come from one or many types of sensors, including sensor networks. Such processing can benefit from Artificial Intelligence (AI), and the use of machine learning, neural networks (including deep architectures), and information fusion methods have been common in this field. Currently, these concepts can be applied in different IoT architectures, where there are sensor and actuator nodes that communicate and create the networks. These types of networks tend to be autonomous networks that adapt to several conditions, creating smart IoT networks. These smart IoT networks would not be possible to carry out without use of artificial intelligence algorithms in their core.

This Special Issue will focus on the applications of AI to transform the data acquired from sensors into valuable information. Topics of interest include but are not limited to:

• AI to process data coming from sensor networks
• Information fusion methods to combine information from multiple sensors
• Machine learning and decision making to issue responses to sensor data
• Deep learning architectures for sensor applications
• Smart sensors
• Smart IoT networks
• Machine learning methods to process sensor outputs
• Explainable AI for sensor applications
• AI-based sensors for efficient energy management
• Databases to enable research on AI-based sensor applications

Dr. Miguel Arevalillo-Herráez
Dr. Miguel García-Pineda
Guest Editors

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