Symmetry/Asymmetry in Artificial Intelligence
A special issue of Symmetry (ISSN 2073-8994).
Deadline for manuscript submissions: 30 September 2026
Special Issue Editors
Interests: statistical signal processing; adaptive filtering; simultaneous localization and mapping (SLAM)
Special Issues, Collections and Topics in MDPI journals
Interests: broad learning; one-class classification, nonlinear signal processing and analysis
Interests: sate estimation; machine learning; reinforcement learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Symmetry and asymmetry frequently emerge in the structure, dynamics, and data patterns of modern intelligent systems. In numerous machine learning or signal processing tasks, symmetric properties can simplify modeling, reveal hidden regularities, and improve computational efficiency. At the same time, asymmetric behaviors, such as uneven noise distributions, unbalanced data, direction-dependent dynamics, or environment-driven biases, often reflect the fundamental complexity of real-world systems. Recognizing and utilizing these characteristics is increasingly important across areas, such as adaptive filtering, state estimation, machine learning, natural language processing, navigation and tracking, radar sensing, and biomedical signal processing and analysis.
This Special Issue, entitled “Symmetry/Asymmetry in Artificial Intelligence”, invites contributions that investigate how symmetry or asymmetry can be identified, modelled, exploited, or mitigated in AI algorithms and applications. Topics include, but are not limited to, the following:
- Robust algorithm design in artificial intelligence;
- Machine learning methods for radar, wireless communication, sonar, and array sensing;
- Data-driven approaches for fault diagnosis and anomaly detection;
- Pattern recognition and perceptual inference under symmetric or asymmetric data structures;
- Decision-making and reinforcement learning for imbalanced or asymmetric data;
- Adaptive signal processing for audio, biomedical, and multimodal signals;
- Navigation, tracking, and state estimation with symmetry-exploiting representations;
- Neural network and kernel-based learning methods;
- Integrated learning frameworks combining machine learning with signal processing technologies;
- Symmetry/asymmetry in intelligent sensing and autonomous system perception.
Prof. Dr. Shiyuan Wang
Dr. Yunfei Zheng
Dr. Lujuan Dang
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 250 words) can be sent to the Editorial Office for assessment.
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
- artificial intelligence
- pattern recognition
- imbalanced or asymmetric data
- adaptive signal processing
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
