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: 3
Total number of pages in this issue: 17

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: 2025-01-14

Articles

  • Enhancing Media Convergence with Artificial Intelligence to Stabilize Financial Markets
    Authors: Haozhong Xue, Yanyi Zhong, Jingwen He
    Resource Type: Article
    Disciplines: Computer Science | Subjects: Artificial Intelligence
    Publication ID: v2n1a01
    Abstract: This study explores the application of artificial intelligence (AI) technology in media convergence, focusing on how AI is driving deep integration of media and financial markets through big data analytics, AIGC (AI-generated content), and...
    1-6
    DOI Icon Abstract views: 53 | DOI Icon PDF downloads: 19 | DOI Icon references: 32
    DOI Icon DOI: 10.70393/616a6e73.323531
    DOI Icon ARK: ark:/40704/AJNS.v2n1a01
  • Integrating Stochastic Programming and Machine Learning for Enhanced Pre-disaster Relocation Planning
    Authors: Yuqun Zhou, Zuen Cen
    Resource Type: Article
    Disciplines: Computer Science | Subjects: Artificial Intelligence
    Publication ID: v2n1a02
    Abstract: This paper proposes a novel framework that integrates stochastic programming and machine learning to optimize pre-disaster relocation strategies. Building upon existing game-theoretic and decision analysis models, this study presents a two-stage...
    7-11
    DOI Icon Abstract views: 64 | DOI Icon PDF downloads: 19 | DOI Icon references: 27
    DOI Icon DOI: 10.70393/616a6e73.323631
    DOI Icon ARK: ark:/40704/AJNS.v2n1a02
  • Harnessing Large Language Models and Stochastic Programming for Optimized Plant Breeding Strategies
    Authors: Yuqun Zhou, Zuen Cen
    Resource Type: Article
    Disciplines: Biological Sciences | Subjects: Genetics
    Publication ID: v2n1a03
    Abstract: The convergence of Generative AI (GenAI) and stochastic programming introduces unprecedented opportunities for optimizing plant breeding strategies under uncertainty. This paper presents a hybrid framework that integrates Large Language Models...
    12-17
    DOI Icon Abstract views: 62 | DOI Icon PDF downloads: 27 | DOI Icon references: 28
    DOI Icon DOI: 10.70393/616a6e73.323632
    DOI Icon ARK: ark:/40704/AJNS.v2n1a03