The Journal of Artificial Intelligence and Technology is a Gold Open Access and peer-reviewed journal that publishes articles on the theoretical, technological, and experimental aspects of artificial intelligence and related studies. The journal aims at being a high-quality international academic journal that provides a prestigious platform for researchers and practitioners in the focused artificial intelligence community.
The Journal of Artificial Intelligence and Technology welcomes submissions on the following topics:
New artificial intelligence theories
Novel applications of intelligence technologies in different disciplines, such as medicine, e-commerce, manufacturing, and social systems
AI-related brain and cognitive science
Machine sensing, perception, and human-machine interaction
Machine learning, data mining, and big data processing
Pattern recognition and computer vision
Intelligent processing through cloud computing and quantum computing
Advanced computing infrastructure design through microservices and programmable gate arrays
Natural language processing and large language models
Network intelligence and mobile computing
Blockchain/distributed ledger technologies and applications
Intelligent planning, scheduling, control and decision
Robotics, IoT, AIoT, and autonomous decentralized systems
Dependability and security of intelligent hardware, software and cyber systems
Education in artificial intelligence and computer science
The Journal of Artificial Intelligence and Technology has been accepted for inclusion in Scopus, the world’s largest abstract and citation database of peer reviewed literature. The acceptance for inclusion by Scopus underlines the journal’s consistent high quality.
July 2022 issue briefly introduce the noncontact vital sign monitoring using video data and the solutions to this problem supplied by Artificial intelligence and machine learning.
We are pleased to announce that the Journal of Artificial Intelligence and Technology is now indexed in IET Inspec, the definitive engineering, physics, and computer science research database.