Advances in Deep Learning and Intelligent Computing
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 January 2026 | Viewed by 707
Special Issue Editors
Interests: AI; computer vision; deep learning; efficient methods
Interests: network science; criminal networks; machine learning; data science; social network analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recently, deep learning has achieved many successes in various fields, such as computer vision and natural language processing. These successful applications make deep learning an important technique in artificial intelligence. To better discuss the recent developments of artificial intelligence, our Special Issue on "Advances in Deep Learning and Intelligent Computing" aims to explore the latest breakthroughs and innovations in the fields of deep learning and intelligent computing. This Special Issue seeks to provide a platform where researchers, scientists, and practitioners can present their latest research findings, methodologies, and applications in deep learning and intelligent computing. Topics of interest include, but are not limited to, the following:
- Novel deep learning architectures and algorithms;
- Reinforcement learning and its applications;
- Transfer learning and domain adaptation techniques;
- General deep learning technologies;
- Techniques on generative large models;
- Intelligent computing systems;
- Efficient artificial intelligence techniques.
We invite submissions of original research papers, review articles, and case studies that contribute to advancing the state of the art in deep learning and intelligent computing. Manuscripts submitted to this Special Issue will undergo a rigorous peer-review process to ensure they are high-quality and relevant to the theme.
By providing a platform for researchers to share their insights, experiences, and challenges, this Special Issue aims to foster collaboration and accelerate the development and adoption of deep learning and intelligent computing technologies across various domains.
We look forward to receiving your contributions and participation in this exciting journey towards unlocking the full potential of deep learning and intelligent computing.
Dr. Jinyang Guo
Prof. Dr. Giacomo Fiumara
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
- deep learning
- intelligent computing
- efficient methods
- generative large model
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