Advanced Technologies and Applications for Computer Vision and Recognition Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 10
Special Issue Editors
Interests: pattern recognition; computer vision; multimodal learning and applications
Special Issues, Collections and Topics in MDPI journals
Interests: image recognition and classification; pattern recognition; computer vision; pattern classification; machine learning
Special Issue Information
Dear Colleagues,
The rapid development of artificial intelligence, sensing devices and high-performance computing has greatly advanced computer vision and recognition systems. Massive visual, textual and networked data are continuously generated from cameras, mobile devices, social media and cyber–physical infrastructures such as intelligent transportation and smart cities. How to efficiently process these heterogeneous data, learn powerful representations and build reliable recognition systems under constraints of real time, privacy, security and robustness has become an important research topic, involving not only visual perception but also areas such as encrypted traffic analysis and the detection of misleading or fake information.
This Special Issue, “Advanced Technologies and Applications for Computer Vision and Recognition Systems,” focuses on new theories, algorithms and system architectures that enhance perception and recognition capabilities in such scenarios. We welcome submissions on deep learning and transformer-based models for vision, lightweight and efficient architectures, multimodal and cross-modal learning and robust or explainable recognition methods suitable for real deployments. Research topics include image and video understanding, object detection and tracking, scene analysis, edge computing and edge intelligence for vision applications, recognition of complex signals in networked environments such as encrypted traffic anomaly detection, image generation, vision-based fault diagnosis as well as multimedia and multimodal fake news or misinformation detection. Both fundamental studies and application-oriented work supported by experiments or case studies fall within the scope of this Special Issue.
Dr. Fei Wu
Dr. Xiwei Dong
Dr. Songsong Wu
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. Electronics is an international peer-reviewed open access semimonthly 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
- computer vision
- pattern recognition
- multimodal learning
- cross-modal perception
- edge computing
- edge intelligence
- encrypted traffic anomaly detection
- network behavior analysis
- fake news detection
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.
