Industrial Artificial Intelligence: Innovations and Challenges
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Industrial Electronics".
Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 1710
Special Issue Editors
Interests: AI in industry; PHM; reliability; monitoring and diagnosis
Interests: uncertainty quantification
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue (SI) encourages the submission of present research achievements concerning novel theories, methods, algorithms and applications in industrial artificial intelligence (AI), including innovations and challenges. Industrial AI focuses on research regarding novel methods and their applications in practical engineering. Various AI theories and methods have been proposed to solve issues relevant to various fields. However, most of the challenges arising from artificial intelligence still require further research, regardless of the practical application, as many research questions remain. Many limitations exist in various application environments, and many researchers are looking for solutions to these problems. We look forward to receiving submissions of the latest research findings suggesting theories and practical solutions for various practical applications in industries based on artificial intelligence.
Authors are encouraged to submit contributions regarding the latest theories, methods, algorithms and applications of AI in:
- Controllable nuclear fusion;
- Nuclear power plants;
- Fluid machinery;
- Face recognition;
- Image and video recognition;
- Surface defect detection;
- Structural health monitoring;
- The quality inspection of the semiconductor industry;
- Industry monitoring based on fiber sensors;
- Other related areas.
Dr. Zhang-Chun Tang
Dr. Feng Zhang
Guest Editors
Manuscript Submission Information
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Keywords
- controllable nuclear fusion
- nuclear power plants
- fluid machinery
- face recognition
- image and video recognition
- surface defect detection
- structural health monitoring
- the quality inspection of the semiconductor industry
- industry monitoring based on fiber sensors
- other related areas
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