Explainable Artificial Intelligence for IoT and Smart Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".
Deadline for manuscript submissions: 20 August 2024 | Viewed by 476
Special Issue Editors
Interests: system modeling; data mining; the Internet of Things; unmanned aerial systems
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; unmanned aerial vehicles; wireless networking
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; transfer learning; biomedical informatics
Special Issues, Collections and Topics in MDPI journals
Interests: adaptive/statistical signal processing; independent component analysis; wireless communications
Special Issue Information
Dear Colleagues,
The rapid growth of Artificial Intelligence (AI) and Internet of Things (IoT) technologies has led to the development of numerous smart systems, with applications in agriculture, healthcare, transportation, and manufacturing. As these systems become increasingly complex, there is a growing need for more transparency, interpretability, and accountability in their decision-making processes. Explainable AI (XAI) aims to address this need by providing clear and understandable explanations for the inner workings of AI models. This Special Issue will focus on the latest advancements in XAI for IoT and smart systems and include novel methods, applications, and case studies. The Special Issue welcomes original research articles, reviews, and case studies on topics including, but not limited to:
- Novel XAI techniques and algorithms for IoT and smart systems;
- Applications of XAI in precision agriculture, smart cities, healthcare, and transportation;
- Interpretability and transparency of AI models in IoT environments;
- Ethical considerations and challenges in deploying XAI for IoT and smart systems;
- Case studies on the impact of XAI on decision-making in IoT applications;
- Human-computer interaction and user experience in XAI-enabled IoT applications;
- Integration of XAI with other AI techniques, such as reinforcement learning and transfer learning, in IoT environments;
- Benchmarking, evaluation, and comparison of XAI methods for IoT and smart systems.
We also welcome original research using XAI for the performance enhancement of existing neural networks.
Submission Guidelines:
Authors are encouraged to submit their original, unpublished research articles that have not been submitted to any other journal. All submissions must adhere to the Electronics journal's author guidelines and should be submitted through the journal's online submission system. Please indicate that your submission is intended for the special issue on "Advancements in Explainable Artificial Intelligence for IoT and Smart Systems" during the submission process.
We look forward to receiving your contributions.
Technical Committee Members:
- Dr. Hong Liu, Embry-Riddle Aeronautical University
- Dr. Wei Li, Auburn University at Montgomery
- Dr. Xiaomin Li, Zhongkai University of Agriculture and Engineering
- Dr. Yingying Ren, Central South University
Dr. Yongxin Liu
Dr. Jian Wang
Dr. Shuteng Niu
Prof. Dr. Thomas Yang
Prof. Dr. Dahai Liu
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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. Electronics 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
- explainable artificial intelligence
- IoT
- smart systems
