About the Journal
The International Journal of Intelligent Systems and Data Science (IJISDS) is a peer-reviewed, open-access journal dedicated to advancing scholarly inquiry into the design, analysis, and deployment of intelligent computational systems driven by data. The journal provides a rigorous forum for research that integrates algorithmic intelligence with data-centric reasoning to address complex scientific, industrial, and societal challenges.IJISDS publishes original research articles, critical reviews, and application-oriented studies that contribute to the theoretical, methodological, and empirical foundations of intelligent systems. The journal welcomes work spanning machine learning, deep learning, data mining, natural language processing, computer vision, intelligent decision-making systems, scalable data analytics, and interdisciplinary applications where artificial intelligence and data science play a central role.With an emphasis on methodological soundness, reproducibility, and ethical responsibility, IJISDS seeks to foster meaningful dialogue between researchers, practitioners, and policymakers. The journal aims to support the responsible advancement of intelligent technologies by promoting transparent peer review, high editorial standards, and research that demonstrates both technical depth and real-world relevance.
