The Journal of Intelligent Computing and Autonomous Systems (JICAS) is an international, peer-reviewed academic journal dedicated to the advancement of research in the rapidly evolving domains of intelligent computing, artificial intelligence, and autonomous systems.

The journal provides a high-quality platform for the publication of original research contributions that address both theoretical foundations and practical implementations of intelligent and autonomous technologies. It aims to bridge the gap between academic research and real-world applications by encouraging innovative methodologies, system designs, and computational models.

JICAS focuses on emerging technologies that enable machines and systems to perceive, learn, reason, and act autonomously in complex and dynamic environments. The journal promotes interdisciplinary research that integrates computer science, engineering, data science, and cognitive technologies to develop next-generation intelligent systems.

The journal welcomes contributions from researchers, academicians, industry experts, and practitioners from across the globe. All submitted manuscripts undergo a rigorous peer-review process to ensure originality, technical quality, and scientific relevance. The review process is designed to maintain high academic standards and to support constructive feedback for improving research quality.

JICAS encourages submissions that demonstrate innovation in algorithms, system architectures, frameworks, and applications that contribute to the development of intelligent and autonomous solutions. Special emphasis is placed on research that has practical significance and potential real-world impact.

The journal is committed to maintaining ethical publication practices, academic integrity, and transparency throughout the review and publication process. It aims to create a globally recognized research forum that supports continuous advancement in intelligent computing and autonomous system technologies.

Through its publications, the journal aspires to contribute to scientific progress and technological innovation, enabling smarter, more efficient, and autonomous systems for the future.