Special Issue "Selected Papers from FCPAE2021 and 3rd International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM2021)"
A special issue of Applied Sciences (ISSN 2076-3417).
Deadline for manuscript submissions: 31 December 2021.
2. Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou 350002, China
Interests: computer software and theory; software engineering and computer application technology research
Interests: deep learning; convolutional neural network; graph convolutional network; attention network; explainable AI; biomedical image analysis; bio-inspired computing; pattern recognition; transfer learning; medical sensor
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With the increased integration of advances in robotics and automatons, sensors, and high-speed computing, the AI and manufacturing industries are entering a period of substantial innovation and change. Over the past few decades, AI has played a vital role in the manufacturing industry, from big data to full automation. However, in today’s complex, competitive, and dynamic external environment, manufacturing in many countries is facing huge bottlenecks and challenges to further development.
The FCPAE2021 and 3rd International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM2021) aims to bring together researchers and scientists from artificial intelligence and advanced manufacturing, as well as researchers from various application areas to discuss problems and solutions in the area, identify new issues, and shape future directions for research.
This Special Issue will focus on introducing a new generation of intelligent manufacturing systems and technologies and their applications, such as AI systems; smart industrial Internet of Things; machine learning and AI for intelligent manufacturing; smart factory and logistics; manufacturing processes and management; sustainable, flexible, virtual, digital manufacturing; and other related topics.
We invite you and your colleagues to submit a contribution in the form of an original scientific research article for this Special Issue. We would also like to thank the presenters and speakers in advance for your attendance to this conference and look forward to a stimulating discussion.
The conference AIAM2021 will be held in Manchester, UK between 23 and 25 October 2021.
Prof. Dr. Shengzong Zhou
Prof. Dr. Yudong Zhang
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 papers will be 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. Applied Sciences 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 2000 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.
- advanced manufacturing
- data mining
- advanced materials
- advanced system management technology
- human–robot collaborative
- sustainable manufacturing
- big data analytics in manufacturing
- AI for manufacturing system optimization
- AI for manufacturing process
- internet + manufacturing
- machine learning techniques for intelligent manufacturing
- application of artificial intelligence in transportation, energy and bioengineering, etc.