EI-JCRAI 2020 : 2020 International Joint Conference on Robotics and Artificial Intelligence (JCRAI 2020)
Call For Papers
●2020 International Joint Conference on Robotics and Artificial Intelligence (JCRAI 2020)-- Ei Compendex & Scopus—Call for papers
October 11-13, 2020｜Tokyo, Japan｜Website: http://www.jcrai.org/
●Venue: Tokyo Metropolitan University Akihabara Satellite Campus, Tokyo, Japan
The origin of Tokyo Metropolitan University was Prefectural Higher School, under the old system of education, established by Tokyo Prefecture in 1929 as the third public higher school. The School was modeled on Eton College, with three years of advanced course and four years of regular course.
●JCRAI 2020 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
All accepted papers will be published in the digital conference proceedings which will be sent to be Indexed by all major citation databases such as Ei Compendex, SCOPUS, Google Scholar, Cambridge Scientific Abstracts (CSA), Inspec, SCImago Journal & Country Rank (SJR), EBSCO, CrossRef, Thomson Reuters (WoS), etc.
A selection of papers will be recommended to be published in journals.
●Program Preview/ Program at a glance
October 11: Registration + Icebreaker Reception
October 12: Opening Ceremony+ KN Speech+ Technical Sessions
October 13: Technical Sessions+ Half day tour/Lab tours
1. PDF version submit via CMT: https://cmt3.research.microsoft.com/JCRAI2020
2. Submit Via email directly to: firstname.lastname@example.org
Ms. Betty Y. Chan
Call for papers (http://www.jcrai.org/cfp.html):
Agents and Multi-Agent Systems
Human Computer Interaction
Creative and Entertaining Robots
Space and underwater robots
Ambient Assisted Living
Internet of Things
Smart Buildings and Cities
Big data analytics for security
Ant colony optimization
Natural language processing
Support Vector Machines