About the Journal

Applied Data Science and Intelligent Systems (ADSIS) is an international, peer-reviewed, open-access journal dedicated to advancing research in data science, artificial intelligence, and intelligent systems. The journal provides a high-quality scholarly platform for the dissemination of innovative theoretical, methodological, and applied research that addresses emerging scientific and technological challenges across multiple disciplines.

ADSIS aims to foster interdisciplinary collaboration by bringing together researchers, academics, practitioners, and industry experts working at the intersection of data-driven technologies and intelligent computational methods. The journal encourages contributions that advance both the fundamental understanding and practical implementation of artificial intelligence and data science in real-world environments.

The journal welcomes original research articles, comprehensive review papers, short communications, and case studies covering a broad range of topics, including but not limited to machine learning, deep learning, data mining, big data analytics, data engineering, intelligent decision support systems, natural language processing, computer vision, knowledge representation, explainable and trustworthy artificial intelligence, intelligent robotics, Internet of Things (IoT), cyber-physical systems, cloud and edge computing, digital transformation, and emerging intelligent technologies.

Recognizing the transformative role of artificial intelligence across scientific domains, ADSIS particularly encourages interdisciplinary studies integrating AI and data science with engineering, medical and health sciences, cognitive sciences, social sciences, business, education, environmental sciences, and other related fields. The journal seeks to publish research that demonstrates scientific rigor, methodological innovation, and practical relevance while contributing to the advancement of sustainable and intelligent solutions for complex global challenges.

All submissions undergo a rigorous double-blind peer-review process conducted by qualified experts to ensure the originality, scientific quality, and integrity of published research. ADSIS adheres to internationally recognized principles of publication ethics and promotes transparency, academic integrity, and responsible research practices throughout the editorial and publication process.

As an Open Access journal, ADSIS provides immediate and unrestricted access to all published content, enabling the global dissemination of scientific knowledge without subscription barriers. By supporting open scientific communication and interdisciplinary collaboration, the journal aspires to become a leading international forum for high-impact research in data science and intelligent systems.