About the Journal

Artificial Intelligence Systems and Its Applications (AISA) is an international, peer-reviewed journal publishing cutting-edge original research in Artificial Intelligence (AI) and its applications. The journal explores theory, methodologies, and real-world applications of AI in various domains, including but not limited to machine learning, natural language processing, AI-driven embedded systems, AI-integrated solutions, and computational social science.

AISA aims to serve both academic researchers and industry practitioners by providing an effective platform for the timely dissemination of advanced AI innovations and emerging trends. The journal welcomes contributions that address fundamental challenges in AI, interdisciplinary approaches, and critical applications of AI across different fields.

Scope

AISA invites high-quality submissions in the following areas:

  • Artificial Intelligence and Its Applications – Core advancements and breakthroughs in AI technologies.
  • Machine Learning and Its Applications – Algorithms, models, and learning paradigms.
  • Natural Language Processing (NLP) – Language understanding, text generation, and conversational AI.
  • AI Embedded Systems – AI in IoT, robotics, and smart hardware solutions.
  • AI Integrated Systems – AI-powered automation, decision-making, and intelligent computing.
  • Computational Social Science – AI applications in social media analytics, sentiment analysis, and human behavior modeling.

Publication Information

  • Peer-Reviewed: Ensuring rigorous evaluation and high-quality contributions.
  • Open Access: Providing unrestricted access to cutting-edge AI research.
  • Frequency: Published quarterly with special issues on emerging AI trends.

AISA welcomes original research papers, review articles, and case studies that contribute to the advancement and practical implementation of AI technologies. The journal aims to bridge the gap between theoretical AI advancements and their real-world applications, fostering innovation in artificial intelligence systems globally.