Artificial Intelligence and Machine Learning Applications in Industrial Systems
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Industrial Technologies".
Deadline for manuscript submissions: 30 November 2024 | Viewed by 1025
Special Issue Editors
Interests: safety analytics; prognostics health management in industrial systems; applied machine learning; occupational ergonomics
Special Issues, Collections and Topics in MDPI journals
Interests: human-robot interaction; robotics; multimodal systems
Interests: lean manufacturing; human factors; Industry 4.0; process control; remaining useful life; robust design and control
Special Issues, Collections and Topics in MDPI journals
Interests: occupational safety; agricultural safety; safety education; scholarship of teaching and learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue focuses on the applications of Machine Learning (ML) and Artificial Intelligence (AI) within industrial systems, aiming to redefine operational efficiency, safety, and productivity. It provides a comprehensive platform to share research, discussions, and advancements in ML and AI engineering applications in enhancing the capabilities of industrial systems. We address applications in smart manufacturing, human–robot collaboration, quality engineering, safety analytics, and risk assessment. Our objective is to explore how these technologies can be applied to create intelligent systems that augment human capabilities, optimize production processes, improve worker safety, and predict system vulnerabilities, thus promoting smarter and safer industrial operations and environment.
We welcome submissions from researchers, academics, and industry practitioners, including original research, reviews, and case studies that explore the integration, challenges, and prospective developments of ML and AI in industrial settings. We look forward to your contributions and to advancing our collective understanding of how ML and AI can shape the future of industrial operations
Dr. Fatemeh Davoudi Kakhki
Dr. Maria Kyrarini
Dr. Beata Mrugalska
Dr. Steven A Freeman
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. 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
- machine learning
- industrial systems
- operational efficiency
- safety analytics
- Human-Robot Interaction
- quality engineering
- lean manufacturing
