Applications of Artificial Intelligence in the IoT

Dear Colleagues,

This Special Issue aims to publish papers on the latest advancements and the prevailing challenges within the realm of AI applications in IoT systems. Integration of AI with IoT systems enables us to collect, analyze, and act on data in real-time. Deploying advanced machine learning (ML) algorithms with the large amount of data collected by IoT devices enables advanced decision-making and automation. An AI application may analyze data from IoT devices, learn from it, and continuously refine its models. This continuous learning cycle makes the entire system smarter over time. However, AI/ML deployment in IoT systems is an open research problem due to several implications, including the resource limitations of IoT devices and security considerations.

Leveraging AI for data analysis, monitoring, and modelling in IoT systems is challenging. This is due not only to the limitation of IoT storage, processing power, and energy but also the real-time requirements of most intelligent IoT applications. Thus, novel solutions are studied to efficiently manage data to support the intelligent tasks of IoT systems. Moreover, there are new security challenges to protect data, considering machine learning complexities and limited resources for supporting data encryption.

Hence, the Special Issue invites submissions of recent research in the areas of artificial intelligence applications in the IoT, including, but not limited to, the followings:

• AI/ML applications in IoT data analysis;
• Application of deep learning in IOT;
• Machine learning for industrial IoT;
• Edge learning in IoT;
• Deploying generative AI in IoT applications;
• Security challenges of AI-empowered IoT applications;
• Trustworthy AI for IoT applications;
• Prototype design for AI applications in IoT;
• AI applications in IoT for automotive and transportation applications;
• AI applications in IoT for advanced manufacturing applications;
• AI applications in IoT for smart cities;
• AI applications in IoT for health care applications;
• Climate change and AI applications in IoT;
• Digital transformation and AI applications in IoT.

Prof. Dr. Bijan Raahemi
Prof. Dr. Ahmad Akbari Azirani
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• artificial intelligence
• Internet of Things
• machine learning
• automation
• intelligent IoT
• generative AI
• edge learning