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JCRAI 2023-Ei Compendex & Scopus 2023 : 2023 International Joint Conference on Robotics and Artificial Intelligence (JCRAI 2023)

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Link: https://www.jcrai.org/
 
When Jul 7, 2023 - Jul 9, 2023
Where Shanghai, China
Submission Deadline Jun 9, 2023
Notification Due Jun 9, 2023
Final Version Due Jun 9, 2023
Categories    artificial intelligence   machine learning
 

Call For Papers

●2023 International Joint Conference on Robotics and Artificial Intelligence (JCRAI 2023)-- Ei Compendex & Scopus—Call for papers 
July 07-09, 2023|Shanghai, China|Website: https://www.jcrai.org/

●JCRAI 2023 welcomes researchers, engineers, scientists and industry professionals to an open forum where advances in the field of Robotics and Artificial Intelligence can be shared and examined. The conference is an ideal platform for keeping up with advances and changes to a consistently morphing field.

●Publication and Indexing
Accepted and presented papers of JCRAI 2023 will be published in the digital conference proceedings which will be submitted to Ei Compendex, Scopus, CPCI, Google Scholar and other major databases for index.
Selected Papers from JCRAI 2023 will be recommended to be submitted for publication in journal.

●Keynote Speakers
Prof. Jan Treur, Delft University of Technology, Netherlands
Dr. Gülay Canbaloğlu, Delft University of Technology, Netherlands

●Program Preview/ Program at a glance
July 07: Registration + Icebreaker Reception
July 08: Opening Ceremony+ KN Speech+ Technical Sessions
July 09: Technical Sessions+ Half day tour/Lab tours

●Paper Submission
1. Submit Via CMT: https://cmt3.research.microsoft.com/JCRAI2023

●CONTACT US
Ms. Willa P. P. Wong
Email: email@jcrai.org
Website: https://www.jcrai.org/

Call for papers(http://www.iarce.org/cfp.html):
Mechatronics, Robotics, Automation

Information and computational engineering

Autonomous robots

Intelligent Autonomous Systems

Behavioral decision making

Intelligent Control Systems and Optimization

Classification

Intelligent Fault Detection

CNC

Intelligent Transportation

Command and control systems

Knowledge-based Systems Applications

Control system applications

Linear Control

Data analysis

Machine Learning in Control Applications

Data fusion and mining

Material

Decision support systems

Material Radar Absorber

Distributed decision making

Motor Drive

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