About the Journal

Journal of Intelligent Computing Methods (JICM) is an international, open access, peer-reviewed journal that publishes original research in intelligent computing, artificial intelligence, machine learning, data analytics, intelligent systems, and applied computational methods. The journal aims to provide a reputable scholarly platform for the dissemination of research that contributes to the advancement of computational intelligence, data-driven technologies, and intelligent decision-making systems.

The scope of JICM includes, but is not limited to, artificial intelligence, machine learning, deep learning, data mining, data analytics, intelligent systems, decision support systems, computer vision, natural language processing, software engineering, information systems, computational modeling, optimization, and applied computing. The journal also welcomes interdisciplinary research that applies intelligent computing methods to real-world problems in education, environment, disaster management, health, public services, business, governance, and society.

JICM publishes original research articles that demonstrate clear research contributions, sound methodology, reliable analysis, and relevance to the field of intelligent computing. Each submission is subject to editorial assessment and peer review to ensure originality, academic quality, methodological rigor, and compliance with publication ethics.

The journal is committed to open access publishing and responsible scholarly communication. Published articles are made freely available to readers, supporting the wider dissemination of scientific knowledge. Authors are expected to uphold ethical standards related to authorship, citation, data availability, conflict of interest disclosure, research integrity, and the responsible use of generative AI tools.