Advanced Artificial Intelligence Technologies for Smart Manufacturing

Submission Deadline: 31 December 2020

IEEE Access invites manuscript submissions in the area of Advanced Artificial Intelligence Technologies for Smart Manufacturing.

As the world enters a new phase of industrialization (Industry 4.0, or the fourth industrial revolution), smart manufacturing has become crucial. Industry 4.0 refers to an industrial transformation aided by smart manufacturing and data exchange, such as high-level factory automation and Internet of Things applications. Artificial intelligence and smart machinery have also become integral research areas in manipulation. Researchers from academia and various industries are now working to develop the next generation of intelligent smart manufacturing applications. With the application of advanced artificial intelligence technologies, the revolution of the smart manufacturing industry can beadvanced more quickly.

To build a competitive advantage, keep up with the “Industry 4.0” trend, and to attract and filter high quality academic contributions, we have organized this Special Section in IEEE Access on “Advanced Artificial Intelligence Technologies for Smart Manufacturing.” High quality articles within the field are highly encouraged and considered in this Special Section.

The topics of interest include, but are not limited to:

  • Artificial Intelligence, Embedded Systems and Cloud Computing in Manufacturing
  • Smart Actuators and Adaptive Control of Machine Tools
  • Man-machine interface and integration
  • Intelligent machinery equipment
  • Intelligent Automation
  • Intelligent manufacturing
  • Advanced signal processing and machine perception of mechanical systems
  • Machine learning techniques for smart manufacturing
  • M2M technology
  • Big Data Analytics in Manufacturing

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility and downloads of articles.


Associate Editor: Her-terng Yau, National Chin-Yi University of Technology, Taiwan

Guest Editors:

    1. Stephen D. Prior, University of Southampton, UK
    2. Yang Wang, Georgia Institute of Technology, USA
    3. Yunhua Li, BeiHang University, China


Relevant IEEE Access Special Sections:

  1. Artificial Intelligence Technologies for Electric Power Systems
  2. Big Data Technology and Applications in Intelligent Transportation
  3. Advances in Machine Learning and Cognitive Computing for Industry Applications


IEEE Access Editor-in-Chief:  Prof. Derek Abbott, University of Adelaide

Article submission: Contact Associate Editor and submit manuscript to:

For inquiries regarding this Special Section, please contact:;