Vol. 1 No. 2 (2026)

View Vol. 1 No. 2 (2026)

This issue contains articles accepted following editor-invited peer review and editorial assessment. All manuscripts underwent standardized similarity screening as part of SUAS Press’s quality assurance protocol.

Articles: 3

For scientific inquiries about a specific article, contact the corresponding author directly. To report concerns regarding editorial integrity, publication ethics, or content quality, please contact the SUAS Press Quality Supervision Committee at qsc@suaspress.org.

Published: 2026-04-10

Articles

  • Practice and Challenge of Generative Artificial Intelligence in Architectural Creative Design
    Authors: Lin Yang
    Resource Type: Article
    Disciplines: Intelligent Systems | Subjects: Other
    Publication ID: v1n2a01
    Abstract: Under the background of the rapid development of science and technology, the relationship between generative AI (artificial intelligence) and the field of architectural creative design has become an important topic that has attracted much...
    1-6
    DOI Icon Abstract views: 13 | DOI Icon PDF downloads: 5 | DOI Icon SUAS Digital Library downloads: 0 | DOI Icon references: 22
    DOI Icon DOI: 10.70393/6a696574.343130
    DOI Icon ARK: ark:/40704/JIET.v1n2a01
  • Research on Stress Testing Automation of AI Server for High Concurrency Scenarios
    Authors: Xingcheng Ren
    Resource Type: Article
    Disciplines: Intelligent Systems | Subjects: Other
    Publication ID: v1n2a02
    Abstract: Traditional stress testing methods are difficult to simulate the complexity and dynamics in real business scenarios, resulting in distorted test results and low efficiency. In order to solve the above problems, this paper proposes an automated...
    7-12
    DOI Icon Abstract views: 8 | DOI Icon PDF downloads: 4 | DOI Icon SUAS Digital Library downloads: 0 | DOI Icon references: 22
    DOI Icon DOI: 10.70393/6a696574.343131
    DOI Icon ARK: ark:/40704/JIET.v1n2a02
  • Collocation Generation and Style Consistency Verification of Personalized Soft Outfit Based on Diffusion Model
    Authors: Lijun Zhang
    Resource Type: Article
    Disciplines: Intelligent Systems | Subjects: Other
    Publication ID: v1n2a03
    Abstract: There are some problems in traditional soft outfit design, such as low efficiency, difficult style understanding and low user participation, and the development of generative AI has brought new opportunities to solve these problems. In this study,...
    13-18
    DOI Icon Abstract views: 11 | DOI Icon PDF downloads: 5 | DOI Icon SUAS Digital Library downloads: 0 | DOI Icon references: 25
    DOI Icon DOI: 10.70393/6a696574.343132
    DOI Icon ARK: ark:/40704/JIET.v1n2a03