Vol. 2 No. 1 (2025)

					View Vol. 2 No. 1 (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: 32

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: 2025-01-01

Articles

  • Authors: Wei Yang, Jincan Duan
    Resource Type: Article
    Disciplines: Artificial Intelligence | Subjects: Statistical Analysis
    Publication ID: v2n1a01
    Abstract: This paper explores the integration of dynamic knowledge graphs (DKGs) and advanced AI techniques, such as large language models (LLMs) and graph neural networks (GNNs), for enhancing financial market analysis and risk management. By developing...
    1-7
    DOI Icon Abstract views: 74 | DOI Icon PDF downloads: 39 | DOI Icon references: 39
    https://doi.org/10.70393/6a6374616d.323439 https://n2t.net/ark:/40704/JCTAM.v2n1a01
    DOI Icon DOI: 10.70393/6a6374616d.323439
    DOI Icon ARK: ark:/40704/JCTAM.v2n1a01
  • Authors: Qian Meng, Haoran Xu, Jingwen He
    Resource Type: Article
    Disciplines: Machine Learning | Subjects: Computer Application Technology
    Publication ID: v2n1a02
    Abstract: This paper explores the application of machine learning (ML) in the selection and optimization of concrete materials for sustainable building design. It discusses how AI-driven platforms, such as Concrete Copilot and SmartMix, are revolutionizing...
    8-14
    DOI Icon Abstract views: 46 | DOI Icon PDF downloads: 25 | DOI Icon references: 35
    https://doi.org/10.70393/6a6374616d.323530 https://n2t.net/ark:/40704/JCTAM.v2n1a02
    DOI Icon DOI: 10.70393/6a6374616d.323530
    DOI Icon ARK: ark:/40704/JCTAM.v2n1a02
  • Authors: Ke Qian
    Resource Type: Article
    Disciplines: Artificial Intelligence and Intelligence | Subjects: Machine Learning
    Publication ID: v2n1a03
    Abstract: Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the...
    15-20
    DOI Icon Abstract views: 30 | DOI Icon PDF downloads: 54 | DOI Icon references: 18
    https://doi.org/10.70393/6a6374616d.323533 https://n2t.net/ark:/40704/JCTAM.v2n1a03
    DOI Icon DOI: 10.70393/6a6374616d.323533
    DOI Icon ARK: ark:/40704/JCTAM.v2n1a03
  • Authors: Shiru Xiao
    Resource Type: Article
    Disciplines: Artificial Intelligence | Subjects: Machine Learning
    Publication ID: v2n1a04
    Abstract: In the area of AI based path planning, the learner is not told which actions to take, as is common in most forms of machine learning. Instead, the learner must discover through trial and error, which actions yield the most rewards. In the most...
    21-26
    DOI Icon Abstract views: 29 | DOI Icon PDF downloads: 12 | DOI Icon references: 22
    https://doi.org/10.70393/6a6374616d.323534 https://n2t.net/ark:/40704/JCTAM.v2n1a04
    DOI Icon DOI: 10.70393/6a6374616d.323534
    DOI Icon ARK: ark:/40704/JCTAM.v2n1a04
  • Authors: Yuxi Huang
    Resource Type: Article
    Disciplines: Artificial Intelligence | Subjects: Machine Learning
    Publication ID: v2n1a05
    Abstract: Combining geospatial analysis with machine learning creates a novel synergy beyond conventional approaches to comprehending our spatial surroundings. The ability of machine learning to recognize intricate patterns and connections within data has...
    27-32
    DOI Icon Abstract views: 33 | DOI Icon PDF downloads: 17 | DOI Icon references: 23
    https://doi.org/10.70393/6a6374616d.323535 https://n2t.net/ark:/40704/JCTAM.v2n1a05
    DOI Icon DOI: 10.70393/6a6374616d.323535
    DOI Icon ARK: ark:/40704/JCTAM.v2n1a05