Industrial Machine Learning with Image Technology Integration
A special issue of Journal of Imaging (ISSN 2313-433X). This special issue belongs to the section "AI in Imaging".
Deadline for manuscript submissions: 28 February 2025 | Viewed by 95
Special Issue Editors
Interests: computer vision; machine (deep) learning; data science; artificial intelligence; industry 4.0/5.0; biomedical image and data analysis; medical imaging
Special Issues, Collections and Topics in MDPI journals
Interests: 3D computer graphics; virtual reality
Special Issues, Collections and Topics in MDPI journals
Interests: computer vision; deep learning; computational topology; remote sensing; precision agriculture
Special Issue Information
Dear Colleagues,
The digital transformation of industries is demanding new applications of imaging technologies. Industrial machine learning (ML) with the integration of imaging technologies combines the power of advanced (deep) machine learning algorithms, low-level image processing, and computer vision techniques to enhance various industrial applications. From the agricultural industry to large textile companies, tire production, automotive parts manufacturing, and the panel manufacturing industry, among many others, they are currently using vision systems for building Industry 4.0/5.0-ready applications. This Special Issue requests contributions mainly in machine vision systems and machine (deep) learning algorithms and methods involving tasks such as object detection, image classification, and semantic scene segmentation. Researchers are encouraged to submit their work related to different types of industrial applications, including, but not limited to, the following:
- Quality control and inspection;
- Predictive maintenance;
- Automation and robotics;
- Supply chain and inventory management;
- Safety and compliance.
Our goal is to foster a comprehensive understanding of the state-of-the-art, encouraging further research and collaboration in this rapidly evolving domain of computer vision, machine (deep) learning, generative AI, and artificial intelligence technologies for industrial applications.
Prof. Dr. Miguel Angel Guevara Lopez
Dr. Luís Gonzaga Mendes Magalhães
Dr. Edel Bartolo Garcia Reyes
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. Journal of Imaging 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 1800 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
- machine (deep) learning
- generative AI
- artificial intelligence
- machine vision
- Industry 4.0/5.0
