Vol. 1 No. 1 (2024)

					View Vol. 1 No. 1 (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: 56

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: 2024-10-10

Articles

  • Authors: Shoujing Zhang
    Resource Type: Article
    Publication ID: v1n1a01
    Abstract: This paper systematically analyzes the application of gradient descent algorithm in linear regression model and proposes a variety of optimization methods. The basic concepts and mathematical expressions of linear regression model are introduced,...
    1-5
    DOI Icon Abstract views: 244 | DOI Icon PDF downloads: 204 | DOI Icon references: 12
    DOI Icon DOI: 10.5281/zenodo.13753916
    DOI Icon ARK: ark:/40704/AJNS.v1n1a01
  • Authors: Zhenxing Zhang
    Resource Type: Article
    Publication ID: v1n1a02
    Abstract: This study analyzes the application effects of different weight initialization methods in convolutional neural networks, focusing on the impact of these methods on training efficiency. Through analysis and derivation from existing studies, we...
    6-9
    DOI Icon Abstract views: 150 | DOI Icon PDF downloads: 31 | DOI Icon references: 8
    DOI Icon DOI: 10.5281/zenodo.13755632
    DOI Icon ARK: ark:/40704/AJNS.v1n1a02
  • Authors: Qiming Xing, Yuan Li
    Resource Type: Article
    Publication ID: v1n1a03
    Abstract: This article explores the application of text classification algorithms based on deep learning in data mining. By reviewing the existing literature, the application of convolutional neural network (CNN), recurrent neural network (RNN) and...
    10-15
    DOI Icon Abstract views: 103 | DOI Icon PDF downloads: 12 | DOI Icon references: 11
    DOI Icon DOI: 10.5281/zenodo.13762126
    DOI Icon ARK: ark:/40704/AJNS.v1n1a03
  • Authors: Ivan Liu
    Resource Type: Article
    Publication ID: v1n1a04
    Abstract: This study discusses the application of data visualization technology in improving the effectiveness of township environmental management. Through literature review, actual case analysis and experimental verification, the important role of data...
    16-19
    DOI Icon Abstract views: 51 | DOI Icon PDF downloads: 7 | DOI Icon references: 6
    DOI Icon DOI: 10.5281/zenodo.13884870
    DOI Icon ARK: ark:/40704/AJNS.v1n1a04
  • Authors: Ke Xiong, Lin Li, Zeyu Wang, Guanghe Cao
    Resource Type: Article
    Publication ID: v1n1a05
    Abstract: This study presents a new credit risk assessment model based on deep learning (DRL), addressing the limitations of static models in adapting to financial changes. The model leverages the Deep Q-Network architecture developed with the importance of...
    20-31
    DOI Icon Abstract views: 425 | DOI Icon PDF downloads: 136 | DOI Icon references: 40
    DOI Icon DOI: 10.5281/zenodo.13905241
    DOI Icon ARK: ark:/40704/AJNS.v1n1a05
  • Authors: Runhai He, Boyi Li, Fusheng Li, Qingqing Song
    Resource Type: Article
    Publication ID: v1n1a06
    Abstract: This paper comprehensively reviews the importance of feature engineering in regression problems and its existing methods. Different feature processing techniques, including data transformation, interactive feature generation, dimensionality...
    32-40
    DOI Icon Abstract views: 106 | DOI Icon PDF downloads: 33 | DOI Icon references: 16
    DOI Icon DOI: 10.5281/zenodo.13905622
    DOI Icon ARK: ark:/40704/AJNS.v1n1a06
  • Authors: Youcef El Mehdaoui
    Resource Type: Article
    Publication ID: v1n1a07
    Abstract: Solving Mixed Integer Programming (MIP) problems is critical for numerous applications in digital asset management. Traditional solvers, which rely on techniques like branch-and-bound and branch-and-cut, face computational challenges when dealing...
    41-50
    DOI Icon Abstract views: 165 | DOI Icon PDF downloads: 41 | DOI Icon references: 28
    DOI Icon DOI: 10.5281/zenodo.13909877
    DOI Icon ARK: ark:/40704/AJNS.v1n1a07
  • Authors: Sobitbek Kholmatov
    Resource Type: Article
    Publication ID: v1n1a08
    Abstract: The advent of social media and the proliferation of multimodal content have led to the growing importance of understanding sentiment in both text and images. Traditional sentiment analysis relies heavily on textual data, but recent trends indicate...
    51-56
    DOI Icon Abstract views: 174 | DOI Icon PDF downloads: 59 | DOI Icon references: 27
    DOI Icon DOI: 10.5281/zenodo.13909963
    DOI Icon ARK: ark:/40704/AJNS.v1n1a08