Journals

ISSN: 3143-4746Frequency: Half YearlyPublisher: Imperial Publications International Journal of Generative AI and Machine Learning (IJGAIML) is a peer-reviewed scholarly journal dedicated to advancing research, innovation, and practical applications in Generative Artificial Intelligence, Machine Learning, Deep Learning, and intelligent computational systems. The journal provides an international platform for researchers, academics, industry professionals, developers, and practitioners to publish original research and emerging developments in rapidly evolving AI technologies. IJGAIML focuses particularly on the development and application of generative models, large language models, multimodal artificial intelligence, autonomous systems, intelligent agents, machine learning algorithms, neural architectures, and data-driven computational methods. The journal welcomes theoretical contributions as well as experimental, computational, and application-oriented studies demonstrating significant advances in the field. The journal encourages interdisciplinary research connecting AI and machine learning with healthcare, education, engineering, finance, business, cybersecurity, scientific research, natural language processing, computer vision, robotics, digital transformation, and other emerging application domains. International Journal of Generative AI and Machine Learning aims to contribute to the global research community by disseminating innovative methodologies, empirical findings, frameworks, algorithms, and practical solutions that advance the capabilities, reliability, efficiency, and responsible use of artificial intelligence.

Journal of Intelligent Computing and Autonomous Systems (JICAS) is an international, peer-reviewed scholarly journal dedicated to research and innovation in intelligent computing, artificial intelligence, machine learning, robotics, autonomous systems, and intelligent cyber-physical technologies. The journal provides a multidisciplinary platform for researchers, academics, engineers, scientists, and industry professionals to disseminate original research, theoretical developments, experimental studies, algorithms, architectures, and real-world applications involving intelligent computational and autonomous technologies. JICAS particularly focuses on the integration of artificial intelligence, machine learning, computer vision, robotics, autonomous navigation, intelligent control, multi-agent systems, reinforcement learning, edge intelligence, human–robot interaction, and cyber-physical systems. The journal welcomes research addressing the complete autonomy pipeline, from perception and sensing to reasoning, planning, decision-making, learning, control, and physical execution. The journal also encourages interdisciplinary research in autonomous vehicles, UAVs and drones, industrial robotics, healthcare robotics, smart cities, intelligent transportation, manufacturing, agriculture, space and underwater systems, cybersecurity, and other emerging application domains. Research on safe, reliable, explainable, adaptive, energy-efficient, and human-centered autonomous systems is particularly encouraged.