In this data driven world, Artificial Intelligence [AI] technologies is widely accepted as the major contributor of the digital transformation in diverse application areas of our society. The journal brings together the state-of-the-art research results in all aspects of Artificial Intelligence [AI] with a particular emphasis on image processing and computer vision models. Artificial Intelligence and Capsule Networks [AICN] Journal serves as a platform for showcasing the research efforts of academicians, scholar and application developers in these domains.
The journal has also extended its focus on the related applications of Machine Perception, Robotics, Cyber-Physical Systems, Internet of Things, Complex Networks, Expert & Multi-agent Systems, Complex and Intelligent Systems, Networks, Artificial Vision, Natural Language and Web Intelligence, Recommendation System, Human-Computer Interface, and Knowledge Representation.
Original research articles, demonstrations, evaluations, case studies, and state-of-the-art contributions from the research, implementation, and standardization communities are published in Artificial Intelligence and Capsule Networks [AICN] Journal.
- The journal helps in attaining the timely disclosure of critical research findings to the worldwide artificial intelligence (AI) community.
- The journal publishes the articles describe the competitive design, as well as report and interpret challenging results with a focus on insights that are useful beyond the existence.
- The journal brings together and promotes interaction between industry and academia groups in order to enhance the future research direction.