Section Collection Series: New Horizons and Recent Advances in Machine Learning
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 December 2025 | Viewed by 6
Special Issue Editors
Interests: machine learning, neural networks, deep learning, big data, data mining, metaheuristics and optimization
Special Issues, Collections and Topics in MDPI journals
Interests: energy systems; machine and deep learning; signal processing in power systems, and ICT
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue is devoted to publishing new trends in machine learning for big data, computer vision, cybersecurity, robotics, smart cities, blockchain, IoT, smart grids, medical, telecommunication, and home apparatuses.
In this Special Issue, we encourage our section’s Editorial Board Members and Topical Advisory Panel Members as well as outstanding scholars in related fields to discuss key topics in the field and submit innovative articles on emerging technologies surrounding machine learning. We expect these papers to be widely read and highly influential within the field. All papers in this Special Issue will be collected into a printed book after the deadline and will be well promoted.
The subject areas may include, but are not limited to, the following:
- Machine learning in computer vision;
- Machine learning in blockchain and IoT;
- Machine learning in industrial applications;
- Machine learning in medical applications;
- Machine learning in telecommunication applications;
- Machine learning in power electronics;
- Machine learning in cybersecurity;
- Machine learning in smart cities;
- Machine learning in robotics;
- Machine learning in disaster prediction and management;
- Machine learning in agriculture;
- Machine learning in energy;
- Machine learning in multimedia and animation.
Prof. Dr. Ping-Feng Pai
Dr. Noman Shabbir
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
- machine learning
- artificial intelligence
- deep learning
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