Applications of Artificial Intelligence in the IoT, 2nd Edition
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 3
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; systems and services
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue will publish research demonstrating recent advances and challenges pertinent to AI applications in IoT systems. AI’s integration with the IoT enables collecting, analyzing, and acting on data in real time. In particular, deploying advanced machine learning (ML) algorithms with the vast data collected by IoT devices enables advanced decision-making and automation. An AI application may analyze such data, learn from it, and continuously refine its models. This continuous learning cycle makes the entire system smarter over time. However, AI/ML deployment in the IoT is a challenge in open research due to several concerns, including the resource limitations of IoT devices and security considerations.
Leveraging AI for data analysis, monitoring, and modelling in IoT systems is difficult due to not only the limitations of IoT storage, processing power, and energy but also the real-time requirements in most intelligent IoT applications. Thus, novel solutions are being studied to efficiently manage data and support intelligent tasks in IoT systems. Moreover, there are new security challenges in protecting data, involving machine learning complexities and limited resources for supporting data encryption.
Accordingly, this Special Issue welcomes submissions focusing on artificial intelligence applications in IoT, including, but not limited to, the following topics:
- AI/ML applications in IoT data analysis;
- The application of deep learning in the IoT;
- Machine learning in industrial IoT applications;
- Edge learning in the IoT;
- Deploying generative AI in IoT applications;
- Security challenges of AI-empowered IoT applications;
- Trustworthy AI for IoT applications;
- Prototype designs for AI applications in the IoT;
- AI applications in the IoT for the automotive and transportation industries, advanced manufacturing, smart cities, and healthcare;
- Climate change and its relation to AI applications in the IoT;
- Digital transformation and its relation to AI applications in the 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
- intelligenet IoT
- generative AI
- edge learning
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