Blending Artificial Intelligence and Machine Learning with the Internet of Things: Emerging Trends, Issues and Challenges—2nd Edition

Dear Colleagues,

The Internet of Things (IoT) is reshaping society by connecting physical devices and systems into vast networks that enable continuous data exchange. Applications of IoT range from consumer technologies, such as smart homes and wearable devices, to large-scale infrastructures, including transportation and industrial systems. However, the rapid growth in the number of connected devices has produced massive volumes of data, presenting significant challenges in terms of collection, processing, and analysis. Traditional approaches to data management are often insufficient for addressing the scale and complexity of these demands.

Artificial intelligence (AI) offers an effective solution by providing advanced methods for analyzing and interpreting large datasets generated by IoT ecosystems. In particular, machine learning (ML) can identify patterns, detect anomalies, and generate insights that are beyond the capacity of conventional techniques. By learning from previous data and adapting over time, ML models enhance predictive accuracy and support more reliable decision-making.

As a result, IoT systems integrated with AI move beyond passive monitoring to become adaptive and proactive. Devices and networks are increasingly able to anticipate future scenarios, optimize their performance, and improve operational efficiency. This convergence of IoT and AI represents a powerful shift toward intelligent, self-improving systems with wide-ranging implications for industries, infrastructures, and everyday life.

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
Dr. João M. L. P. Caldeira
Dr. Bruno Bogaz Zarpelão
Dr. Adriano Raposo
Dr. Manuel Jesus-Azabal
Guest Editors

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