International Journal of Data Sciences and Intelligent Systems

About the Journal

The International Journal of Data Sciences and Intelligent Systems (eISSN:2706-8064) is a leading peer-reviewed academic journal that publishes high-quality research in the fields of data science, artificial intelligence, and intelligent systems. The journal provides a platform for researchers, practitioners, and academics to share innovative methodologies, theoretical advancements, and practical applications of data-driven and AI-enabled technologies.

IJDSS covers a wide range of topics including machine learning, deep learning, big data analytics, predictive modeling, natural language processing, computer vision, IoT-enabled intelligent systems, and ethical considerations in AI. By bridging the gap between theoretical research and real-world applications, the journal aims to advance understanding and innovation in intelligent systems and data science.