Symmetry and Asymmetry in Artificial Intelligence and Machine Learning-Based Image Processing
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".
Deadline for manuscript submissions: 30 June 2025 | Viewed by 1947
Special Issue Editors
Interests: evolutionary computation; machine learning; computational humor; team formation; scheduling and timetabling problems
Special Issue Information
Dear Colleagues,
In AI and machine learning-based image processing, symmetry and asymmetry are fundamental properties that significantly impact pattern recognition, feature extraction, and algorithmic performance. This Special Issue, "Symmetry and Asymmetry in Artificial Intelligence and Machine Learning-Based Image Processing", explores how these properties can enhance modern computational imaging systems.
We welcome innovative research contributions that advance our understanding of how AI and ML algorithms can effectively leverage symmetrical and asymmetrical patterns encompassing both theoretical frameworks and practical applications.
Of particular interest are cutting-edge approaches to symmetry detection, asymmetric pattern recognition, and their real-world applications across diverse domains, including medical imaging, autonomous driving, computer vision, and industrial automation. We seek submissions that demonstrate how symmetry and asymmetry principles can improve the robustness, efficiency, and performance of AI-driven image processing solutions.
We invite original research articles, comprehensive reviews, and case studies that explore novel methodologies, theoretical advances, or practical implementations. Submissions may emphasize how symmetry/asymmetry considerations can advance the state-of-the-art in AI and ML-based image processing.
Prof. Dr. Panagiotis Adamidis
Dr. Keiko Ono
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. Symmetry 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 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
- symmetry-aware deep learning
- asymmetric feature detection
- feature extraction
- object detection
- symmetry-guided attention
- symmetry-based segmentation
- deep feature learning
- geometric invariance
- pattern recognition
- image segmentation
- computer vision
- image transformations
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