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.

ISSN 3005-6071 (Print) | ISSN 3005-608X (Online)

International CODEN (CAS): JIEAAE

The journal focuses on the following fields:

  • Applied Mathematics
  • Applied Physics
  • Applied Chemistry
  • Information Science
  • Computer Science
  • Mechanical Science
  • Materials Science
  • Automation Technology
  • Artificial Intelligence Technology
  • Aerospace Technology

All articles published by JIEAS are indexed by BASE and WorldCat.

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

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

Announcements

Current Issue

Vol. 2 No. 5 (2024)

All content published in this issue has undergone peer review and strict repetition rate checks have been conducted.

Number of articles in this issue: 10
Number of pages in this issue: 79

If you have any questions about the content of this issue, you can contact each author via email. For questions about the journal itself, you can directly contact SUAS Press.

Published: 2024-10-01

Articles

  • Evaluating Regression and Ensemble Models for Financial Forecasting: The Case of Apple Stock
    Runhai He, Zhenxing Zhang, Shoujing Zhang, Qingqing Song
    1-9
    Abstract views: 29
    DOI: 10.5281/zenodo.13821480
    ARK: ark:/40704/JIEAS.v2n5a01
  • Knowledge Graph Embedding and Few-Shot Relational Learning Methods for Digital Assets in USA
    Zichao Li, Bingyang Wang, Ying Chen
    10-18
    Abstract views: 32
    DOI: 10.5281/zenodo.13844366
    ARK: ark:/40704/JIEAS.v2n5a02
  • Design and Challenges of Multicore Processor Architectures
    Chengye Liu, Zhihuai Lyu
    19-23
    Abstract views: 7
    DOI: 10.5281/zenodo.13845097
    ARK: ark:/40704/JIEAS.v2n5a03
  • Exploring Bias in NLP Models: Analyzing the Impact of Training Data on Fairness and Equity
    Weikun Lin, Jingxuan Xiao, Zuen Cen
    24-28
    Abstract views: 20
    DOI: 10.5281/zenodo.13845132
    ARK: ark:/40704/JIEAS.v2n5a04
  • Optimization of Chip Design Using Machine Learning Techniques
    Zhihuai Lyu
    29-32
    Abstract views: 7
    DOI: 10.5281/zenodo.13845111
    ARK: ark:/40704/JIEAS.v2n5a05
  • Style-Adaptive Optimization in Software Development Using MOE Structure
    Dutao Zhang, Boyi Li
    33-38
    Abstract views: 7
    DOI: 10.5281/zenodo.13845335
    ARK: ark:/40704/JIEAS.v2n5a06
  • When Federated Learning Meets Machine Unlearning
    Mary J Bartra
    39-47
    Abstract views: 28
    DOI: 10.5281/zenodo.13854241
    ARK: ark:/40704/JIEAS.v2n5a07
  • Application of Deep Reinforcement Learning for Cryptocurrency Market Trend Forecasting and Risk Management
    Fanyi Zhao, Mingxuan Zhang, Shiji Zhou, Qi Lou
    48-55
    Abstract views: 6
    DOI: 10.5281/zenodo.13854906
    ARK: ark:/40704/JIEAS.v2n5a08
  • Machine Learning-Based Intelligent Risk Management and Arbitrage System for Fixed Income Markets: Integrating High-Frequency Trading Data and Natural Language Processing
    Ming Wei, Yanli Pu, Qi Lou, Yida Zhu, Zeyu Wang
    56-67
    Abstract views: 8
    DOI: 10.5281/zenodo.13858262
    ARK: ark:/40704/JIEAS.v2n5a09
  • Optimising AI Workload Distribution in Multi-Cloud Environments: A Dynamic Resource Allocation Approach
    Bo Yuan, Guanghe Cao, Jun Sun, Shiji Zhou
    68-79
    Abstract views: 6
    DOI: 10.5281/zenodo.13863194
    ARK: ark:/40704/JIEAS.v2n5a10
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