Symmetry in Next-Generation Intelligent Information Technologies
A special issue of Symmetry (ISSN 2073-8994).
Deadline for manuscript submissions: 30 June 2025 | Viewed by 450
Special Issue Editors
Interests: image processing; pattern recognition; deep learning; object detection
Special Issues, Collections and Topics in MDPI journals
Interests: wireless communications; deep learning; Massive MIMO; intelligent reflecting surface
Special Issue Information
Dear Colleagues,
In intelligent information technology, symmetry and asymmetry play crucial roles. Symmetry in intelligent information technology can be observed in various aspects. For example, in data processing, when there is a balanced and consistent approach to handling different types of information, it reflects a form of symmetry. On the other hand, asymmetry in intelligent information technology is equally important. Asymmetry can be seen in the way that certain data points or events are given more weight or priority than others. For instance, in machine learning algorithms, some features may be more influential in making predictions, leading to an asymmetric treatment of different variables.
In conclusion, both symmetry and asymmetry in intelligent information technology contribute to its effectiveness and functionality. Understanding and leveraging these aspects can lead to more efficient and intelligent solutions in the field of information technology.
Next-generation intelligent information technologies have emerged as pivotal drivers of transformation across a multitude of industries, adeptly addressing complex challenges and enabling widespread applications in key areas such as computer vision, mobile communication, and robotics. In the realm of computer vision, deep learning-based image processing technologies have become integral to applications such as autonomous driving, where they help in real-time object detection and navigation; medical imaging analysis, which enhances diagnostic accuracy through detailed image interpretation; and environmental monitoring, where they facilitate the advanced analysis of ecological data. These technologies are revolutionizing the way visual data are processed and utilized, making significant strides in both accuracy and efficiency.
In mobile communication, advancements like intelligent MIMO antennas and intelligent reflecting surfaces have markedly improved network performance and reliability. These innovations enhance data transmission rates, expand coverage, and reduce latency, thereby contributing to the overall efficiency of communication systems. The deployment of these technologies supports the growing demand for high-speed reliable connectivity in various applications from urban environments to remote areas.
In robotics, artificial intelligence-driven automatic control technologies are being increasingly applied in sectors such as industrial automation, where they streamline manufacturing processes and improve precision; maritime control, enhancing navigation and operational efficiency in ship management; and logistics, optimizing supply chain operations and warehouse management. These technologies are pushing the boundaries of what robots can achieve, leading to more advanced and autonomous systems.
Looking ahead, the continuous advancements in these technologies are expected to unlock even broader applications across diverse sectors. However, these advancements also bring to light significant challenges, including concerns related to data privacy and security, issues of technology integration and compatibility, and broader ethical and societal implications. This Special Issue is aimed at addressing the following issues:
- Machine learning.
- Image processing.
- Signal processing.
- Advanced control theory.
- Data science applications.
- Intelligent computing and algorithms.
- Data enhancement and generation.
- Massive MIMO.
- Intelligent reflecting surfaces.
- Embodied AI.
Dr. Moran Ju
Dr. Si-Nian Jin
Dr. Jitong Ma
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
- artificial intelligence
- wireless communication
- automation control
- big data
- computer science
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