About the Journal

Scientific Research Journal of AI & Digital Transformation (SRJADT) is an international, peer-reviewed, open-access journal dedicated to the advancement of artificial intelligence and its pivotal role in the global digital evolution. As a specialized sister publication to SCIRJ, this journal provides a platform for researchers, academicians, and industry professionals to publish original research that bridges the gap between theoretical AI and real-world digital applications.

Aims and Scope

SRJADT prioritizes studies that demonstrate how AI and digital tools are transforming traditional sectors. Key areas of interest include:

  • Generative AI and Large Language Models (LLMs): Transformer architectures, RAG, prompt engineering, and accuracy optimization.

  • Core AI Algorithms and Machine Learning: Reinforcement learning, Graph Neural Networks (GNNs), and Explainable AI (XAI).

  • Digital Transformation & Infrastructure: Industry 4.0/5.0, Digital Twins, Cybersecurity, and Cloud/Edge computing.

  • Multidisciplinary AI Applications: Health sciences, Fintech, Smart Grids, and EdTech.

  • Ethics, Governance, and HMI: AI safety, algorithmic bias, and human-centered design.

Journal Metadata & Standards

  • Journal Title: SRJ of AI & Digital Transformation (SRJADT)

  • Affiliation: Managed under the editorial standards of Scientific Research Journal (ISSN: 2201-2796, Australia).

  • Publication Type: International Peer-Reviewed Open Access.

  • Frequency: Monthly (12 issues per year).

  • Review Process: Double-Blind Peer Review (COPE Compliant).

  • Digital Object Identifier: DOI assigned via CrossRef (Prefix: 10.31364).

  • Licensing: Creative Commons Attribution 4.0 International (CC BY 4.0).