●2024 4th International Joint Conference on Robotics and Artificial Intelligence (JCRAI 2024)-- Ei Compendex & Scopus—Call for papers August 9-11, 2024｜Shanghai, China｜Website: https://www.jcrai.org/ ●JCRAI 2024 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 and presented papers will be published in ACM International Conference Proceedings Series(ICPS), which will send to be reviewed and indexed by major citation databases such as EI Compendex, Scopus, CPCI, Google Scholar, etc. ●Keynote Speakers Prof. Jan Treur, Delft University of Technology, Netherlands Prof. Guandong Xu, University of Technology Sydney, Australia ●Program Preview/ Program at a glance August 9: Registration + Icebreaker Reception August 10: Opening Ceremony+ KN Speech+ Technical Sessions August 11: Technical Sessions+ Half day tour/Lab tours ●Paper Submission Submit Via CMT: https://cmt3.research.microsoft.com/JCRAI2024

Agents and Multi-Agent Systems 

Expert Systems

Fuzzy Logic 

Genetic Algorithms 

Neural Networks 

Swarm Intelligence 

 

MACHINE VISION

 

Augmented Reality

Bioinformatics 

Human Computer Interaction 

Image/Video Processing 

Pattern Recognition 

Signal Processing 

 

ROBOTICS

 

Assistive Robots 

Autonomous Robots 

Creative and Entertaining Robots 

Human-Robot Interaction

Mobile Robots 

Space and underwater robots 

 

AMBIENT INTELLIGENCE

 

Ambient Assisted Living 

Data Science

Intelligent Driving 

Internet of Things 

Smart Buildings and Cities 

Smart Healthcare 

 

SECURITY

 

Big data analytics for security

Biometrics 

Computer Forensics 

Intrusion Detection 

Security Intelligence 

Spam Detection 

 

MACHINE LEARNING

 

Ant colony optimization 

Bayesian networks 

Decision Making 

Natural language processing

Supervised/Unsupervised Learning 

Support Vector Machines