About the Journal

Journal Summary: International Journal of Advanced Science (IJAS)

The International Journal of Advanced Science (IJAS) is a peer-reviewed, open-access academic journal that serves as a global platform for cutting-edge research and interdisciplinary collaboration across a wide range of scientific disciplines. IJAS is committed to advancing scientific knowledge, fostering innovation, and addressing critical challenges in science and technology.

Scope

IJAS publishes original research articles, review papers, and case studies in diverse fields, including but not limited to:

  • Agriculture : Sustainable practices, crop science, and technological advancements.
  • Computer Science : Artificial intelligence, machine learning, and cybersecurity.
  • Environmental Science : Climate change mitigation and ecosystem management.
  • Materials Science : Nanotechnology and advanced material engineering.
  • Transportation Science : Smart mobility and traffic management.
  • Chemistry : Industrial processes and pharmaceutical breakthroughs.
  • Physics : Quantum mechanics and applied physics.
  • Mathematics and Statistics : Computational methods and theoretical innovations.
  • Biology : Molecular biology, genetics, and biodiversity.
  • Geography and Earth Sciences : Geology, meteorology, and astronomy.

Open Access Policy

IJAS ensures unrestricted access to all published articles under the Creative Commons Attribution License (CC BY), promoting the free exchange of ideas and broad dissemination of scientific knowledge.

Audience

IJAS is designed for researchers, academics, industry professionals, and policymakers, fostering collaboration across disciplines to drive scientific and technological progress.

Mission

IJAS aims to bridge gaps between diverse scientific fields, encourage interdisciplinary research, and contribute to solving global challenges through the dissemination of innovative and impactful research.

Current Issue

Vol. 1 No. 1 (2025): Volume 1, Number 1
Published: 2025-02-28

Articles

  • Application of Data-Driven Prediction and Strategic Optimization in Olympic Medal Distribution

    Zhaoyu Zhu, Jiajin Shen, Minghao Yu, Chengtian Liang (Author)
    DOI: https://doi.org/10.70731/c3q02875
  • Power Transformer Fault Diagnosis Based on Multi Class SVM and IPSO

    Zihan Bai, Ziyu Zhao, Mingshen Xu (Author)
    DOI: https://doi.org/10.70731/48tvx723
  • The Role of Systematic Taxonomy in Protecting Endangered Animals

    Yi HU (Author)
    DOI: https://doi.org/10.70731/t63sxh19
  • Multi-Feature Power Load Forecasting Model Based on Hyperparameter Optimization and Ensemble Learning

    Xu Mingshen, Zhang Teng, Xiaotian Li (Author)
    DOI: https://doi.org/10.70731/pegmyh06
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International Journal of Advanced Science (IJAS) 

ISSN 2759-9523

Published by Jandoo Press, Kita City, Tokyo, Japan