Vol. 1 No. 2 (2024)

View Vol. 1 No. 2 (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: 8
Number of pages in this issue: 70

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: 2024-04-14

Articles

  • DES classifier architecture diagram
    Fraud Detection in Digital Payment Technologies Using Machine Learning
    Authors: Junliang Wang
    Resource Type: Article
    Publication ID: v1n2a01
    Abstract: Data has become the banking industry's most valuable asset, not only helping banks attract more customers, increase the loyalty of existing customers, make more effective data-driven decisions, but also enhancing business capabilities,...
    1-6
    DOI Icon Abstract views: 518 | DOI Icon PDF downloads: 183 | DOI Icon references: 22
    DOI Icon DOI: 10.5281/zenodo.10926495
  • Differential sequence diagram
    Scenarios Driving Economic Forecasts: Choosing Econometrics or Machine Learning
    Authors: Shaoliang Xia, Zhen Wu, Qingqing Song
    Resource Type: Article
    Publication ID: v1n2a02
    Abstract: Economic forecasting is an in-depth understanding of the laws of economic operation. It is based on historical facts and past data to make possible inferences about future economic trends and development trends in related fields. Since the main...
    7-26
    DOI Icon Abstract views: 127 | DOI Icon PDF downloads: 51 | DOI Icon references: 22
    DOI Icon DOI: 10.5281/zenodo.10927145
  • Schematic diagram of random forest principle
    Hybrid Deep Learning for AI-Based Financial Time Series Prediction
    Authors: Yuqiang Zhong, Qishuo Cheng, Lichen Qin, Jinxin Xu, Han Wang
    Resource Type: Article
    Publication ID: v1n2a03
    Abstract: As the influencing factors of the development of things are not clear or the data collection is difficult, many forecasting problems have evolved into univariate time series forecasting problems, that is, mining its own inherent laws from the past...
    27-35
    DOI Icon Abstract views: 402 | DOI Icon PDF downloads: 137 | DOI Icon references: 25
    DOI Icon DOI: 10.5281/zenodo.10938270
  • Comparison of F-score performance between training set and test set
    Implementation of Artificial Intelligence in Investment Decision-making in the Chinese A-share Market
    Authors: Kun Qian, Chao Fan, Zihan Li, Huiming Zhou, Weike Ding
    Resource Type: Article
    Publication ID: v1n2a04
    Abstract: Financial services are crucial in people's lives, and the development of Artificial Intelligence (AI) technology has brought about new forms of financial services with great potential and prospects. Particularly in risk control and investment...
    36-42
    DOI Icon Abstract views: 810 | DOI Icon PDF downloads: 312 | DOI Icon references: 29
    DOI Icon DOI: 10.5281/zenodo.10940590
  • Deep multi layer neural network forward pass and backpropagation
    LSTM-Based Deep Learning Model for Financial Market Stock Price Prediction
    Authors: Jintong Song, Qishuo Cheng, Xinzhu Bai, Wei Jiang, Guangze Su
    Resource Type: Article
    Publication ID: v1n2a05
    Abstract: Through methods such as machine learning and deep learning, artificial intelligence models can process and analyze large amounts of complex financial data to assist financial institutions in rapid and accurate analysis and decision-making, thereby...
    43-50
    DOI Icon Abstract views: 905 | DOI Icon PDF downloads: 406 | DOI Icon references: 33
    DOI Icon DOI: 10.5281/zenodo.10940654
  • BERT model architecture diagram
    Application of Deep Learning in Financial Credit Card Fraud Detection
    Authors: Qiaozhi Bao, Kuo Wei, Jiahao Xu, Wei Jiang
    Resource Type: Article
    Publication ID: v1n2a06
    Abstract: Credit cards play an important role in our daily life, and the emergence of Internet finance makes credit card payment face more fraud risks. Therefore, it is of great significance to build an efficient credit card fraud detection model and...
    51-57
    DOI Icon Abstract views: 868 | DOI Icon PDF downloads: 237 | DOI Icon references: 38
    DOI Icon DOI: 10.5281/zenodo.10960092
  • Development Trends in AI-Based Financial Risk Monitoring Technologies
    Development Trends in AI-Based Financial Risk Monitoring Technologies
    Authors: Xinzhu Bai, Wei Jiang, Jiahao Xu
    Resource Type: Article
    Publication ID: v1n2a07
    Abstract: In recent years, artificial intelligence (AI) technology has rapidly evolved and deeply integrated with the financial industry. It has been widely used in various scenarios such as intelligent customer service, credit scoring, robo-advisors, and...
    58-63
    DOI Icon Abstract views: 396 | DOI Icon PDF downloads: 160 | DOI Icon references: 32
    DOI Icon DOI: 10.5281/zenodo.10965494
    DOI Icon ARK: ark:/40704/JETBM.v1n2a07
  • Data warehouse architecture diagram
    Integrated Management of Potential Financial Risks Based on Data Warehouse
    Authors: Peiyuan Yang, Zuwei Shui, Zhou Chen, Wang Baoming, Han Lei
    Resource Type: Article
    Publication ID: v1n2a08
    Abstract: A data warehouse is used to manage an enterprise's vast data sets, providing a storage mechanism to transform data, move data, and present it to end users. This paper introduces the challenges and changes facing the financial industry in the...
    64-70
    DOI Icon Abstract views: 278 | DOI Icon PDF downloads: 90 | DOI Icon references: 31
    DOI Icon DOI: 10.5281/zenodo.10970487
    PURL: suas/JETBM.v1n2a08
    DOI Icon ARK: ark:/40704/JETBM.v1n2a08