About the Journal

Journal of Industrial Engineering and Applied Science is peer-reviewed journal of Southern United Academy of Sciences published in the field of Engineering Technology. The journal registers independent DOI and ARK for each article. The DOI prefix is ​​10.70393 and the ARK prefix is ​​40704.

ISSN 3005-6071 (Print), ISSN 3005-608X (Online), International CODEN (CAS): JIEAAE

The journal focuses on the following fields:

  • Applied Mathematics - Computational Mathematics, Statistical Analysis, Mathematical Modeling
  • Applied Physics - Condensed Matter Physics, Applied Optics, Plasma Physics
  • Applied Chemistry - Chemical Engineering, Polymer Chemistry, Environmental Chemistry
  • Information Science - Data Management, Information Retrieval, Library Science
  • Computer Science - Software Engineering, Computer Networks, Cybersecurity
  • Mechanical Science - Thermodynamics, Fluid Mechanics, Robotics
  • Materials Science - Nanomaterials, Biomaterials, Composite Materials
  • Automation Technology - Control Systems, Industrial Automation, Process Automation
  • Artificial Intelligence Technology - Machine Learning, Natural Language Processing, Computer Vision
  • Aerospace Technology - Aerodynamics, Avionics, Spacecraft Design

All articles published by JCTAM are indexed by OpenAIRE, BASE, WorldCat and ICI.

(OpenAIRE - DataSources | BASE - Bielefeld Academic Search Engine | WorldCat - OCLC)

All articles published are rigorously reviewed meeting the Journal Quality standards.

Announcements

Current Issue

Vol. 3 No. 4 (2025)
View Vol. 3 No. 4 (2025)

All articles published in this issue have undergone a thorough peer review process, and stringent checks for repetition rates have been implemented to ensure the integrity of the content.

Total number of articles in this issue: 1
Total number of pages in this issue: 13

For inquiries regarding the content of specific articles, please feel free to contact the respective authors via their provided email addresses. For questions related to the journal itself, please reach out directly to SUAS Press.

Published: 2025-08-07

Articles

  • AI-Assisted Sustainability Assessment of Building Materials and Its Application in Green Architectural Design
    Authors: Sheng Xu
    Resource Type: Article
    Disciplines: Engineering Design | Subjects: Intelligent Transformation
    Publication ID: v3n4a01
    Abstract: The construction industry faces unprecedented challenges in achieving sustainable development goals while maintaining economic viability and design excellence. This research presents a comprehensive AI-assisted framework for evaluating building...
    1-13
    DOI Icon Abstract views: 16 | DOI Icon PDF downloads: 9 | DOI Icon references: 24
    DOI Icon DOI: 10.70393/6a69656173.333130
    DOI Icon ARK: ark:/40704/JIEAS.v3n4a01
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