Aim and Scope

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.

Our journal welcomes contributions that address theoretical, practical, and methodological aspects of AI and Data Science. We emphasize interdisciplinary research that bridges the gap between computation and domain-specific applications such as healthcare, finance, smart cities, education, environmental science, cybersecurity, and more. IJRAIDS encourages the development of explainable AI models, scalable data processing systems, and ethical frameworks that ensure responsible and sustainable innovation.

The scope of IJRAIDS encompasses a wide range of topics, including but not limited to:

  • Artificial Intelligence Algorithms and Architectures
  • Machine Learning and Deep Learning Applications
  • Natural Language Processing (NLP)
  • Computer Vision and Robotics
  • Data Mining and Predictive Analytics
  • Big Data Frameworks and Technologies
  • Statistical Learning and Data Modeling
  • IoT-enabled AI Systems
  • Ethical, Legal, and Social Implications of AI

IJRAIDS adheres to a rigorous peer-review process to maintain academic excellence and integrity. Each manuscript submitted to the journal undergoes a thorough review by experts in the respective domain to ensure novelty, technical soundness, clarity, and contribution to the field. We are committed to publishing only original, unpublished work that significantly advances knowledge and practical solutions in AI and Data Science.

The journal is published quarterly and features research articles, short communications, review papers, case studies, and technical notes. All accepted papers are freely accessible to the global research community, contributing to the widespread dissemination of scientific knowledge without subscription barriers.

IJRAIDS also promotes collaborative initiatives by featuring special issues on emerging trends, inviting guest editors, and encouraging cross-disciplinary partnerships. We believe in fostering a vibrant ecosystem of innovation by connecting researchers, developers, policymakers, and educators from across the globe.

Submit your manuscript today and be part of a global movement driving the future of intelligent research.