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. 3 (2025)
View Vol. 3 No. 3 (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: 5
Total number of pages in this issue: 46

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: 2025-06-08

Articles

  • AI Based Future Development and Case Analysis in the Education Service Industry
    Authors: Zhonglin Zhao
    Resource Type: Article
    Disciplines: Artificial Intelligence Technology | Subjects: Machine Learning
    Publication ID: v3n3a01
    Abstract: The education industry is being transformed by Artificial Intelligence through hyper-personalized learning, real-time feedback, and scalable, modular content delivery. This paper focuses on key AI methodologies—machine learning, natural language...
    1-9
    DOI Icon Abstract views: 8 | DOI Icon PDF downloads: 3 | DOI Icon references: 30
    DOI Icon DOI: 10.70393/6a69656173.323933
    DOI Icon ARK: ark:/40704/JIEAS.v3n3a01
  • Hybrid Edge-AI Framework for Intelligent Mobile Applications: Leveraging Large Language Models for On-device Contextual Assistance and Code-Aware Automation
    Authors: Liao Hu
    Resource Type: Article
    Disciplines: Computer Science | Subjects: Software Engineering
    Publication ID: v3n3a02
    Abstract: The integration of large language models (LLMs) into mobile development workflows has been fundamentally constrained by three competing requirements: computational efficiency, contextual awareness, and real-time responsiveness. While cloud-based...
    10-22
    DOI Icon Abstract views: 18 | DOI Icon PDF downloads: 5 | DOI Icon references: 27
    DOI Icon DOI: 10.70393/6a69656173.323935
    DOI Icon ARK: ark:/40704/JIEAS.v3n3a02
  • A Comprehensive Review of BIM and Deep Learning Integration in Innovative Practices for Architectural Digital Transformation
    Authors: Lin Yang
    Resource Type: Article
    Disciplines: Artificial Intelligence Technology | Subjects: Machine Learning
    Publication ID: v3n3a03
    Abstract: The paper is an extensive review looking at the convergence of Building Information Model (BIM) with deep learning (DL) in the digital transformation of architecture. As BIM evolves from a 3D model-centric design tool to a knowledge-based decision...
    23-31
    DOI Icon Abstract views: 8 | DOI Icon PDF downloads: 3 | DOI Icon references: 27
    DOI Icon DOI: 10.70393/6a69656173.333030
    DOI Icon ARK: ark:/40704/JIEAS.v3n3a03
  • Intelligent Optimization Algorithm for Chain Restaurant Spatial Layout Based on Generative Adversarial Networks
    Authors: Sheng Xu
    Resource Type: Article
    Disciplines: Artificial Intelligence Technology | Subjects: Machine Learning
    Publication ID: v3n3a04
    Abstract: This research presents an intelligent optimization algorithm framework for chain restaurant spatial layout generation based on Generative Adversarial Networks (GANs). Contemporary restaurant design methodologies rely on subjective expertise and...
    32-41
    DOI Icon Abstract views: 9 | DOI Icon PDF downloads: 5 | DOI Icon references: 26
    DOI Icon DOI: 10.70393/6a69656173.333031
    DOI Icon ARK: ark:/40704/JIEAS.v3n3a04
  • Constructing a Decentralized AI Data Marketplace Enabled by a Blockchain-Based Incentive Mechanism
    Authors: Tianzuo Zhang
    Resource Type: Article
    Disciplines: Computer Science | Subjects: Cybersecurity
    Publication ID: v3n3a05
    Abstract: As data increasingly becomes a key factor of production for artificial intelligence (AI), this paper proposes a blockchain-enabled, decentralized AI data-market framework. To address the long-standing problems of low transparency, high privacy...
    42-46
    DOI Icon Abstract views: 12 | DOI Icon PDF downloads: 4 | DOI Icon references: 31
    DOI Icon DOI: 10.70393/6a69656173.333032
    DOI Icon ARK: ark:/40704/JIEAS.v3n3a05
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