Advances in Vision Computing: An International Journal (AVC)

Memo

Advances in Vision Computing: An International Journal (AVC)   ISSN: 2349 - 2201   https://airccse.org/journal/avc/index.html Scope   Vision Computing is a branch of artificial intelligence that focuses on providing computers with the functions typical of human vision. Due to recent advances made in technology, scientists have incorporate portable imagers into computer vision systems that can be connected via wireless networks. Advances in Vision Computing: An International Journal (AVC) is an open access, peer-reviewed journal that publishes articles which contribute new results in all areas of the advanced vision computing. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding advances in vision computing and establishing new collaborations in these areas. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of vision computing.   Topics of interest include, but are not limited to, the following:   Machine Vision Image Processing and Formation Document Imaging in Business Pattern Recognition Image and Video Understanding Applications and Services Motion, Tracking and Stereo Vision Biometrics Machine Intelligence Data structures and databases Multimedia Speech Recognition Computational Models Mobile Imaging Robotic Vision Vision-based human-computer interaction Computer Vision Machine Learning Algorithms Machine Learning Applications Deep Learning   Important Dates Submission Deadline: September 12, 2026 Notification : September 25, 2026 Final Manuscript Due : September 28, 2026 Publication Date : Determined by the Editor-in-Chief   Contact Us   Here's where you can reach us: This email address is being protected from spambots. You need JavaScript enabled to view it. or This email address is being protected from spambots. You need JavaScript enabled to view it.       SUBMISSION URL: https://airccse.com/submissioncs/home.html