Generative Artificial Intelligence and Machine Learning in Industrial Processes and Manufacturing

A special issue of Computers (ISSN 2073-431X).

Deadline for manuscript submissions: 15 December 2024 | Viewed by 69

Special Issue Editor


E-Mail Website
Guest Editor
School of Information Technology, Deakin University, Waurn Ponds 3216, Australia
Interests: Industrial Internet of Things; algorithms; web programming; instrumentation; data mining; engineering education
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Generative Artificial Intelligence (AI) and Machine learning have revolutionized various industries by enabling the automation, optimization, and predictive analytics of processes. In recent years, these technologies have been increasingly applied in industrial settings to enhance efficiency and decision-making operations. This Special Issue aims to explore the latest advancements, challenges, and opportunities associated with machine learning and generative AI in industrial applications. Industry 5.0 is expected to create new paradigms of human–AI collaboration and enhance productivity and safety when performing complex tasks.

The scope of this Special Issue includes, but is not limited to, the following:

  • Machine learning algorithms for predictive maintenance in manufacturing
  • Generative AI for design optimization in engineering
  • Deep learning for quality control in production processes
  • AI-driven decision support systems for industrial operations
  • Applications of machine learning in energy management and sustainability
  • Applications such as digital twins and supply chain management
  • Case studies and real-world implementations of machine learning in industrial settings

We invite researchers, practitioners, and experts to submit their original research papers, reviews, and surveys to this Special Issue. Extended conference papers are also welcome, but they should comprise at least 50% new material, e.g., in the form of technical extensions, more in-depth evaluations, or additional use cases. Submissions will undergo a rigorous peer-review process to ensure their high quality and relevance to the theme of the Special Issue.

Dr. Ananda Maiti
Guest Editor

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. Computers is an international peer-reviewed open access monthly 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 1800 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

  • generative AI
  • supply chain
  • digital twins
  • construction
  • cloud-based manufacturing
  • prototyping
  • regulatory technologies
  • Industry 5.0

Published Papers

This special issue is now open for submission.
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