The Global Voice in AI Research : Shaping Future with Intelligence

Excellence in AI Publishing

About Us

Welcome to the International Journal of Research in Artificial Intelligence and Data Science (IJRAIDS)

The International Journal of Research in Artificial Intelligence and Data Science (IJRAIDS) is a leading open-access, peer-reviewed journal dedicated to publishing innovative and high-quality research in the fields of Artificial Intelligence (AI), Machine Learning (ML), and Data Science. As the demand for intelligent and data-driven systems continues to grow across diverse sectors, IJRAIDS serves as a global platform for researchers, academicians, industry professionals, and data practitioners to disseminate original research, critical reviews, and real-world applications that shape the future of intelligent systems and analytical technologies.

Aim and Scope

We aim for

IJRAIDS envisions becoming a global leader in scholarly publishing by continuously promoting research excellence, ethical publishing standards, and interdisciplinary collaboration. Our goal is to facilitate the exchange of knowledge that drives the responsible and inclusive growth of AI and Data Science technologies across industries and societies. • To provide a trusted, high-quality publication platform for academic and applied research in AI and Data Science and promote ethical, transparent, and timely peer-review processes ensuring the credibility of published content. Also to support emerging researchers and global collaborations in addressing real-world problems through intelligent data-driven solutions.

Our Scope

The International Journal of Research in Artificial Intelligence and Data Science (IJRAIDS) is a peer-reviewed, open-access journal dedicated to publishing cutting-edge research, reviews, and case studies that advance the fields of Artificial Intelligence (AI) and Data Science. The journal serves as a dynamic platform for academics, researchers, and professionals to share innovative ideas, theoretical developments, and practical applications that shape the future of intelligent systems and data-driven technologies.

Core areas of interest include (but are not limited to):

Artificial Intelligence, Machine Learning & Deep Learning, Explainable AI and Responsible AI Computer Vision & Image Processing, Natural Language Processing (NLP), Robotics and Intelligent Agents AI Ethics and Fairness, Reinforcement Learning, Big Data Analytics, Statistical Modeling and Data Mining Predictive Analytics and Forecasting, Data Visualization & Interpretation, Data Engineering and Architecture Time Series and Streaming Data, Data-Driven Decision Making, Smart Cities and IoT-based Analytics AI for Cybersecurity, Recommender Systems and many more..,

IJRAIDS welcomes original research articles, review papers, short communications, and technical reports from both academic and industrial contributors. Our goal is to foster scientific collaboration and drive impactful research across the rapidly evolving landscapes of AI and data science.