New Advances in Machine Learning and Its Applications

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 15 July 2024 | Viewed by 181

Special Issue Editor


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Guest Editor
Department of Computer Science and Engineering, The University of Connecticut, Stamford, CT 06901, USA
Interests: machine learning; optimization; advanced machine learning; algorithms; security; artificial intelligence; banking; it security; computer security; heuristics
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Special Issue Information

Dear Colleagues,

Machine learning technologies have quickly developed and have proven substantial practical value in various application domains. For years, such technology has solved numerous complex industrial problems in the AI community, such as predictive maintenance, process optimization, task scheduling, quality improvement, supply and demand forecasting, defect detection, vibration signal recognition, etc.

This Special Issue invites original and breakthrough research in machine learning. Topics include, but are not limited to, the following:

  • Machine learning and its applications for predictive maintenance, quality control, and process optimization;
  • Machine learning and its applications for smart manufacturing process monitoring and control;
  • Machine learning and its application for intelligent manufacturing diagnostics, prognostics, and asset health management;
  • Machine learning and its applications for scheduling and supply chain management;
  • Machine learning and its applications for robotics and human–machine interaction;
  • Machine learning algorithms and approaches to handling big data, data imbalance, uncertainty, data fusion, etc.

Prof. Dr. Phillip Bradford
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. 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

  • machine learning
  • robotics and human–machine interaction
  • intelligent manufacturing diagnostics
  • smart manufacturing
  • big data

Published Papers

This special issue is now open for submission.
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