Aim and Scope
International Journal of Artificial Intelligence & Digital Transformation (IJAIDT) is a double-blind peer reviewed journal dedicated to advancing research in artificial intelligence, automation, and digital transformation technologies. It publishes innovative studies covering machine learning, deep learning, cognitive computing, digital ecosystems, intelligent automation, Industry 4.0, and enterprise digitalization. IJAIDT focuses on both theoretical developments and practical applications of artificial intelligence and digital transformation technologies. The journal welcomes original research articles, review papers, case studies, and technical reports that explore the design, implementation, and impact of AI-driven systems in modern digital environments.
IJAIDT aims to foster innovation in next-generation intelligent systems while promoting the adoption of AI-powered solutions across various industries. The journal serves as a bridge between scientific research and industrial implementation, supporting global digital transformation initiatives. The scope includes machine learning, deep learning, data science, intelligent automation, and digital technologies such as cloud computing, IoT, and blockchain. The journal also emphasizes interdisciplinary research that examines how digital transformation reshapes industries such as healthcare, business, education, manufacturing, and governance. Contributions addressing ethical, social, and policy implications of AI are also encouraged.
ISSN: 3071-3315 | Editor-in-Chief: Prof. Dr. Al-Ahmad Hussain | Frequency: Quarterly
