Explore the aims, scope, and major research areas covered by the JAIET.
The Journal of Artificial Intelligence and Emerging Technologies is an international, peer-reviewed, open-access journal dedicated to advancing research and innovation in Artificial Intelligence, Data Science, Machine Learning, Deep Learning, Computer Science, and emerging digital technologies. JAIET provides a global platform for researchers, academicians, scientists, engineers, and industry professionals to disseminate original, innovative, and high-quality research that contributes to the development of intelligent systems, computational methods, data-driven technologies, and emerging technological solutions. The journal welcomes theoretical, methodological, experimental, and application-oriented research that demonstrates scientific originality, technical significance, rigorous evaluation, and potential real-world impact.
Artificial Intelligence: Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, Generative AI, Large Language Models, Natural Language Processing, Computer Vision, Speech Technologies, Expert Systems, Intelligent Agents, Reinforcement Learning, Explainable AI, and Cognitive Computing.
Data Science and Analytics: Data Science, Data Analytics, Big Data, Data Mining, Knowledge Discovery, Predictive Analytics, Data Engineering, Data Visualization, Statistical Learning, Business Intelligence, Recommender Systems, and Computational Data Analysis.
Computer Science and Information Technology: Algorithms, Computational Theory, Software Engineering, Programming Languages, Database Systems, Computer Architecture, Operating Systems, Information Systems, Web Technologies, Mobile Computing, Information Retrieval, and Human–Computer Interaction.
Emerging Technologies: Internet of Things (IoT), Cloud Computing, Edge and Fog Computing, Robotics, Autonomous Systems, Intelligent Automation, Blockchain, Cybersecurity, Digital Twins, Augmented and Virtual Reality, Quantum Computing, 5G/6G Technologies, and Digital Transformation.
Interdisciplinary AI Applications: Artificial Intelligence and data-driven applications in Healthcare, Finance, Education, Agriculture, Engineering, Manufacturing, Environmental Science, Transportation, Energy, Business, Scientific Computing, and other emerging application domains.
JAIET welcomes research that provides clear methodological contributions, rigorous theoretical or experimental evaluation, reproducible results, and meaningful advancement of knowledge or practice. The journal particularly encourages interdisciplinary research that combines artificial intelligence, data-driven methods, computer science, and emerging technologies to address complex scientific, industrial, and societal challenges.
The journal considers Original Research Articles, Review Articles, Survey Articles, Case Studies, Technical Notes, Short Communications, and other scholarly contributions relevant to its scope. All submitted manuscripts are evaluated based on their originality, scientific quality, technical significance, relevance, and contribution to the advancement of research and technology.
