Artificial Intelligence and Signal Processing Techniques for Industrial Automation Systems
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Automation Control Systems".
Deadline for manuscript submissions: 1 March 2027 | Viewed by 2
Special Issue Editors
Interests: artificial intelligence; intelligent system engineering
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; wireless signal processing; intelligent wireless sensing
Interests: robot system integration and control; industrial system modeling and control
Interests: digital urban renewal design; intelligent historic; cultural heritage protection planning
Special Issue Information
Dear Colleagues,
The development of artificial intelligence and advanced signal processing techniques has brought new opportunities for complex industrial automation systems in monitoring, diagnosis, control, and optimization to improve control accuracy, response speed, and product performance. This Special Issue aims to provide a platform for researchers and engineers to report their recent research outcomes and exchange innovative research ideas. The topics of Interest include, but are not limited to, the following:
- AI-based cross-modal signal fusion and intelligent processing.
- Interpretability of integration between signal processing and AI.
- AI-based control and optimization for robotic systems.
- AI-based control and optimization for automation control systems.
- AI-based control and optimization for energy engineering systems.
- Signal-based monitoring and diagnosis techniques.
- AI-based monitoring and diagnosis techniques.
- Signal transmission optimization and AI edge computing for industrial Internet of Things.
- Industrial quality inspection using AI and signal processing.
- Digital twin and perceptual technology.
- Large language model applications for industrial automation systems.
- Multi-sensor signal-fusion technology for smart homes and smart cities.
Prof. Dr. Lei Wang
Prof. Daying Quan
Dr. Wenping Jiang
Dr. Zhen Wei
Dr. Jun Min
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. Processes 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
- industrial automation
- smart manufacturing
- intelligent control systems
- artificial intelligence (AI)
- signal processing
- multisensors
- sensor fusion
- edge computing
- digital twin
- large language models (LLMs)
- intelligent monitoring and diagnosis
- intelligent control and optimization
- industrial quality inspection
- smart energy systems
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