Focus and Scope

Journal of Advanced Intelligent Systems (JAIS) is an international peer-reviewed journal that publishes original and significant contributions to the theory, design, development, implementation, and application of intelligent systems and emerging digital technologies from researchers and practitioners around the world. The journal provides a scholarly platform for disseminating high-quality research that advances the field of Artificial Intelligence and its integration into various domains of science, engineering, industry, business, education, healthcare, agriculture, and public services.

Contributions may be either conceptual, theoretical, methodological, experimental, or empirical and are welcomed from any country and application domain, provided that they primarily focus on intelligent systems, computational intelligence, data-driven technologies, or advanced digital innovations. The journal encourages submissions that address contemporary challenges and opportunities in the development, deployment, and governance of intelligent technologies.

Although our core areas of interest are Artificial Intelligence, Machine Learning, and Intelligent Systems, we are also interested in a wide range of related topics, including but not limited to:

  • Artificial Intelligence (AI)
  • Machine Learning and Deep Learning
  • Explainable Artificial Intelligence (XAI)
  • Computer Vision and Image Processing
  • Natural Language Processing (NLP)
  • Data Science and Big Data Analytics
  • Recommender Systems
  • Intelligent Decision Support Systems
  • Knowledge-Based and Expert Systems
  • Computational Intelligence
  • Intelligent Robotics and Autonomous Systems
  • Internet of Things (IoT) and Smart Devices
  • Cyber-Physical Systems
  • Human–Computer Interaction
  • Intelligent Information Systems
  • Smart Agriculture and Precision Farming
  • Smart Healthcare and Medical Informatics
  • Smart Cities and Urban Intelligence
  • Cybersecurity and Intelligent Security Systems
  • Cloud Computing and Edge Computing
  • Digital Transformation and Industry 4.0/5.0 Applications
  • Artificial Intelligence for Education, Business, Governance, and Sustainable Development

Authors are strongly encouraged to ensure the originality, scientific rigor, and practical significance of their work prior to submission for formal peer review.