Vol. 2 No. 5 (2024)

View 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: 6
Number of pages in this issue: 53

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: 2024-09-16

Articles

  • Research on Optimization of Chip Development Management Based on Modular Design
    Chengye Liu
    1-5
    Abstract views: 3
    https://doi.org/10.5281/zenodo.13755252 https://n2t.net/ark:/40704/AJSM.v2n5a01
    DOI: 10.5281/zenodo.13755252
    ARK: ark:/40704/AJSM.v2n5a01
  • Research on Risk Management Strategies and Implementation Paths in Chip Design
    Chengye Liu
    6-10
    Abstract views: 3
    https://doi.org/10.5281/zenodo.13755264 https://n2t.net/ark:/40704/AJSM.v2n5a02
    DOI: 10.5281/zenodo.13755264
    ARK: ark:/40704/AJSM.v2n5a02
  • Utilizing Artificial Intelligence for Financial Risk Monitoring in Asset Management
    Shikai Wang, Yida Zhu, Qi Lou, Ming Wei
    11-19
    Abstract views: 4
    https://doi.org/10.5281/zenodo.13762069 https://n2t.net/ark:/40704/AJSM.v2n5a03
    DOI: 10.5281/zenodo.13762069
    ARK: ark:/40704/AJSM.v2n5a03
  • LSTM-Based Financial Statement Fraud Prediction Model for Listed Companies
    Yanli Pu, Yida Zhu, Haosen Xu, Zeyu Wang, Ming Wei
    20-31
    Abstract views: 6
    https://doi.org/10.5281/zenodo.13762976 https://n2t.net/ark:/40704/AJSM.v2n5a04
    DOI: 10.5281/zenodo.13762976
    ARK: ark:/40704/AJSM.v2n5a04
  • AI-Driven Financial Reporting and Risk Management: A Path to Economic Growth and Market Efficiency
    Huining Wang
    32-37
    Abstract views: 15
    https://doi.org/10.5281/zenodo.13765776 https://n2t.net/ark:/40704/AJSM.v2n5a05
    DOI: 10.5281/zenodo.13765776
    ARK: ark:/40704/AJSM.v2n5a05
  • Leveraging Artificial Intelligence for Enhanced Risk Management in Financial Services: Current Applications and Future Prospects
    Haosen Xu, Kaiyi Niu, Tianyi Lu, Siyang Li, Qi Lou
    38-53
    Abstract views: 5
    https://doi.org/10.5281/zenodo.13765819 https://n2t.net/ark:/40704/AJSM.v2n5a06
    DOI: 10.5281/zenodo.13765819
    ARK: ark:/40704/AJSM.v2n5a06