Applications in Symmetry/Asymmetry and Machine Learning
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 9
Special Issue Editors
Interests: machine learning; software testing; metaheuristic optimization; explainable AI; deep learning
Interests: computer vision; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to invite you to contribute to this Special Issue, ‘Applications in Symmetry/Asymmetry and Machine Learning’. Machine learning and artificial intelligence have become central to solving complex problems across science, industry, and society. Symmetry, in this context, refers to balanced and recurring structures in data and models, such as repetitive patterns in time series or uniform distributions, while asymmetry appears in challenges such as class imbalance, unequal feature importance, or anomaly detection.
This Special Issue aims to highlight cutting-edge research that integrates concepts of symmetry and asymmetry into the development of machine learning models, optimization algorithms, and decision-making systems. Of particular interest are methods that achieve balance between exploration and exploitation in optimization, uncover hidden asymmetries in predictive modeling, and design explainable AI techniques that make algorithmic decisions more transparent.
Potential topics include, but are not limited to, supervised and unsupervised learning, time series analysis and prediction, metaheuristic and evolutionary optimization, deep learning and recurrent neural networks, anomaly detection, image and pattern recognition, decision support systems, and applications of explainable AI. Both original research and review articles are welcome.
We look forward to your contributions.
Dr. Tamara Zivkovic
Dr. Jingang Shi
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
- machine learning
- artificial intelligence
- symmetry and asymmetry
- metaheuristic optimization
- deep learning
- recurrent neural networks
- explainable AI
- time series prediction
- pattern recognition
- data analysis
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