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JCRAI 2022-Ei Compendex & Scopus 2022 : 2022 International Joint Conference on Robotics and Artificial Intelligence (JCRAI 2022)

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Link: https://www.jcrai.org/
 
When Oct 14, 2022 - Oct 16, 2022
Where Chengdu, China
Submission Deadline Sep 10, 2022
Notification Due Sep 10, 2022
Final Version Due Sep 10, 2022
Categories    artificial intelligence   machine learning
 

Call For Papers

●2022 International Joint Conference on Robotics and Artificial Intelligence (JCRAI 2022)-- Ei Compendex & Scopus—Call for papers 
October 14-16, 2022|Chengdu, China|Website: https://www.jcrai.org/

●JCRAI 2022 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 2022 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 2022 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
October 14: Registration + Icebreaker Reception
October 15: Opening Ceremony+ KN Speech+ Technical Sessions
October 16: Technical Sessions+ Half day tour/Lab tours

●Paper Submission
1. Submit Via CMT: https://cmt3.research.microsoft.com/JCRAI2022
2. Submit Via email directly to: jcrai@hksra.org

●CONTACT US
Ms. Willa P. P. Wong
Email: jcrai@hksra.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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