International Journal of Artificial Intelligence, Machine Learning and Data Science (IJAIMLDS)

About the Journal

International Journal of Artificial Intelligence, Machine Learning and Data Science (IJAIMLDS) is a peer-reviewed publication dedicated to advancing the theory, practice, and applications of artificial intelligence (AI), machine learning (ML), and data science. The journal provides a comprehensive platform for researchers, practitioners, academics, and industry professionals to share their research findings, innovations, and insights in these rapidly evolving fields.

Aim and Scope: The primary aim of the International Journal of Artificial Intelligence, Machine Learning and Data Science (IJAIMLDS) is to foster the exchange of knowledge and ideas that contribute to the advancement of AI, ML, and data science across a broad spectrum of domains. The journal welcomes original research articles, survey papers, technical notes, and case studies

  • ENHANCING UNDERSTANDING OF MULTIFACTOR INFLUENCE ON RAINY SEASON HOUSING CONSTRUCTION: A STUDY IN IMPROVEMENT

    Jing Zhang , Wei Chen
    1-8
    DOI: https://doi.org/10.5281/zenodo.10571795
  • OPTIMIZING SITE MANAGEMENT FOR CIVIL ENGINEERING PROJECTS THROUGH BIM TECHNOLOGY: A COMPREHENSIVE EXAMINATION

    Li Wei , Xin Zhu
    9-15
    DOI: https://doi.org/10.5281/zenodo.10571797
  • REFINING TABLE TENNIS MAINTENANCE: CREATING STYLISH CLEANING AND RECOVERY MACHINES

    Chen Wei Xi
    16-21
    DOI: https://doi.org/10.5281/zenodo.10571799