Applications of Artificial Intelligence in the IoT
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 May 2025 | Viewed by 2300
Special Issue Editors
Interests: artificial intelligence; machine learning; data mining; big data analytics; applications in business; healthcare; and engineering; information systems and technologies
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; artificial intelligence communication and information technologies management of networks; IoT; network security
Special Issue Information
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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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
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.
Keywords
- artificial intelligence
- Internet of Things
- machine learning
- automation
- intelligent IoT
- generative AI
- edge learning
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