Application of Symmetry/Asymmetry and Machine Learning

Dear Colleagues,

The Special Issue “Application of Symmetry/Asymmetry and Machine Learning” will investigate the critical roles that symmetry and asymmetry play in advancing machine learning. Symmetry and asymmetry influence key aspects such as data representation, feature extraction, classification, and anomaly detection. This Issue invites research on the innovative uses of these properties to improve the efficiency, security, and scalability of learning systems. By leveraging symmetry, models can achieve more robust and generalizable representations, while asymmetry can reveal unique patterns for specialized tasks. Contributions may explore both theoretical frameworks and practical algorithms that make effective use of these principles. The Special Issue also examines how symmetry-oriented approaches can support automated machine learning, enabling systems to discover and exploit invariances without human intervention. Ultimately, this collection aims to deepen our understanding of symmetry and asymmetry in machine learning and to inspire new directions for research and real-world applications.

We are pleased to invite you to submit original research papers, which have not been submitted or published in or are not under consideration for any other conferences or journals. Topics of interest include, but are not limited to, the following:

• Utilization of symmetry and asymmetry in machine learning algorithms for blockchain technology, focusing on improving the efficiency, security, and scalability of blockchain systems.
• Novel machine learning models motivated by symmetry/asymmetry properties, including the following:
  
  • Supervised and unsupervised learning;
  • Computer vision and natural language processing;
  • Deep learning and neural networks;
  • Pattern recognition;
  • Statistical modeling and inference.
• Asymmetry in machine learning applied to fields such as engineering, healthcare, agriculture, astronomy, sports, cybersecurity, and education, with emphasis on novel prediction and classification models.
• Symmetry and asymmetry in image processing and computer vision, especially using embedded systems, including the following:
  • Symmetry detection algorithms for improved recognition and classification;
  • Asymmetry analysis for object detection and scene understanding;
  • Embedded system architectures optimizing symmetrical and asymmetrical image data processing;
  • Practical applications in robotics, surveillance, medical imaging, and autonomous vehicles;
  • Machine learning techniques leveraging symmetry/asymmetry for enhanced image analysis and feature extraction.

• Artificial General Intelligence and Agentic AI:

• • Large Language Models (LLMs).
  • Agentic AI applications;
  • Multi Agent Systems;
  • AI powered XAR Applications;
  • Blockchain and AI;
  • Risks and Ethical challenges of AI;
  • Governance challenges of AI.

We look forward to receiving your contributions.

Prof. Dr. Mohamed Hamlich
Prof. Dr. Sebastián Ventura
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.

• symmetry
• asymmetry
• machine learning
• blockchain technology
• image processing
• computer vision
• embedded systems
• pattern recognition
• deep learning
• feature extraction