Focus and Scope

Journal of Artificial and Information Technology (JAITEC) invites original research articles and review papers that contribute to advancing the field of computer science. The journal focuses on the latest research and developments in the following areas:

Artificial Intelligence (AI): Research on machine learning, deep learning, natural language processing, intelligent systems, and AI applications. We welcome papers that explore innovative algorithms, models, and solutions in AI, especially those demonstrating significant real-world impact and practical utility.

Computer Networks and Communications: Topics covering network protocols, network architecture, data communications, distributed systems, and challenges related to efficient network and communication management. Research on network security, cloud-based networking, and emerging communication technologies is also encouraged.

Computer Science (Miscellaneous): This category includes various areas within computer science that do not fall under the previously mentioned categories, such as computational theory, algorithms, software systems, and human-computer interaction (HCI). Articles discussing recent developments and applications in these domains are also welcome.

Computer Vision and Pattern Recognition: Research in image processing, video analysis, object detection, pattern recognition, and applications of computer vision in fields such as healthcare, security, automotive, and more. Studies developing new algorithms or models for pattern recognition or more efficient computer vision applications are highly encouraged.

Journal of Artificial and Information Technology (JAITEC) publishes both original research articles and review papers. All submissions must present original contributions with clear motivation, a well-defined research problem, and a discussion of the scientific and practical impact of the work. Research articles should include rigorous methodologies, experimental results, and a thorough analysis in comparison to existing literature. Review papers should provide a comprehensive evaluation of emerging trends, challenges, and significant works in AI, computer networks and communications, computer science, and computer vision and pattern recognition. Reviews must take a clear position and offer valuable insights to the scientific community. The journal follows a double-blind peer review policy to ensure the high quality and integrity of the published content.