Blending Artificial Intelligence and Machine Learning with the Internet of Things: Emerging Trends, Issues and Challenges

Dear Colleagues,

The Internet of Things (IoT) continues to revolutionize the world. However, gathering, processing, and analyzing the data is difficult due to the volume of data flowing from billions of connected IoT devices. Artificial intelligence can play a vital role here, as it can extract insights from data. Machine learning can detect patterns and anomalies in data obtained from IoT devices. As a result, networks and devices can learn from previous decisions, predict future activity, and continuously enhance their performance and decision-making capabilities.

This Special Issue aims to bring together researchers and scientists to present the latest experiences, findings, and developments regarding integrating artificial intelligence and machine learning with the Internet of Things. The topics of this Special Issue include, but are not limited to, the following:

• Artificial intelligence and IoT;
• Machine learning and IoT;
• IoT recent trends;
• IoT applications and services;
• IoT networks;
• IoT architectures;
• IoT prototypes, testbeds, and case studies.

Prof. Dr. Vasco N. G. J. Soares
Prof. Dr. João M. L. P. Caldeira
Dr. Bruno Bogaz Zarpelão
Dr. Jaime Galán-Jiménez
Guest Editors

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