Vol. 1 No. 3 (2024)

					View Vol. 1 No. 3 (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: 12
Number of pages in this issue: 96

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: 2024-09-01

Articles

  • Authors: Zichao Li, Bingyang Wang, Ying Chen
    Resource Type: Article
    Publication ID: v1n3a01
    Abstract: To enhance the portfolio performance of cryptocurrency and US treasuries, we introduce a pioneer approach that incorporates contrastive learning to traditional deep learning techniques. The contrastive learning process builds a contrary learning...
    1-10
    DOI Icon Abstract views: 267 | DOI Icon PDF downloads: 107 | DOI Icon references: 20
    https://doi.org/10.5281/zenodo.13357988 https://n2t.net/ark:/40704/JCTAM.v1n3a01
    DOI Icon DOI: 10.5281/zenodo.13357988
    DOI Icon ARK: ark:/40704/JCTAM.v1n3a01
  • Authors: Yenchin Chang
    Resource Type: Article
    Publication ID: v1n3a02
    Abstract: This paper explores recent advancements in chip design techniques aimed at optimizing power efficiency and performance of multi-core processor architectures. We review various strategies, such as dynamic voltage and frequency scaling (DVFS),...
    11-17
    DOI Icon Abstract views: 65 | DOI Icon PDF downloads: 49 | DOI Icon references: 56
    https://doi.org/10.5281/zenodo.13358028 https://n2t.net/ark:/40704/JCTAM.v1n3a02
    DOI Icon DOI: 10.5281/zenodo.13358028
    DOI Icon ARK: ark:/40704/JCTAM.v1n3a02
  • Authors: Peng Zhang
    Resource Type: Article
    Publication ID: v1n3a03
    Abstract: Distribution of food ingredients for restaurants generally involves the optimization of multi-input and multi-output logistics system of the secondary distribution network. Based on the location distribution of 6 restaurants and the layout of 3...
    18-22
    DOI Icon Abstract views: 27 | DOI Icon PDF downloads: 9 | DOI Icon references: 5
    https://doi.org/10.5281/zenodo.13358817 https://n2t.net/ark:/40704/JCTAM.v1n3a03
    DOI Icon DOI: 10.5281/zenodo.13358817
    DOI Icon ARK: ark:/40704/JCTAM.v1n3a03
  • Authors: Meina Qu
    Resource Type: Article
    Publication ID: v1n3a04
    Abstract: Computer vision is widely used in many fields such as robot navigation and binocular vision ranging. For the measurement and detection of large area, the manual operation process of the traditional method is relatively simple.For the difficulty,...
    23-29
    DOI Icon Abstract views: 165 | DOI Icon PDF downloads: 70 | DOI Icon references: 39
    https://doi.org/10.5281/zenodo.13366612 https://n2t.net/ark:/40704/JCTAM.v1n3a04
    DOI Icon DOI: 10.5281/zenodo.13366612
    DOI Icon ARK: ark:/40704/JCTAM.v1n3a04
  • Authors: Jingxuan Xiao, Jiawei Wu
    Resource Type: Article
    Publication ID: v1n3a05
    Abstract: Cross-language natural language processing (NLP) presents numerous challenges due to the wide array of linguistic structures and vocabulary found within each language. Transfer learning has proven itself successful at meeting these challenges by...
    30-38
    DOI Icon Abstract views: 110 | DOI Icon PDF downloads: 45 | DOI Icon references: 56
    https://doi.org/10.5281/zenodo.13366733 https://n2t.net/ark:/40704/JCTAM.v1n3a05
    DOI Icon DOI: 10.5281/zenodo.13366733
    DOI Icon ARK: ark:/40704/JCTAM.v1n3a05
  • Authors: Jiawei Wu, Jingxuan Xiao
    Resource Type: Article
    Publication ID: v1n3a06
    Abstract: Natural Language Processing (NLP), specifically, has emerged as a vital weapon against cybercrime, particularly for network log analysis. As network traffic grows ever more complex and data volumes rise exponentially, traditional log analysis...
    39-47
    DOI Icon Abstract views: 275 | DOI Icon PDF downloads: 75 | DOI Icon references: 62
    https://doi.org/10.5281/zenodo.13366745 https://n2t.net/ark:/40704/JCTAM.v1n3a06
    DOI Icon DOI: 10.5281/zenodo.13366745
    DOI Icon ARK: ark:/40704/JCTAM.v1n3a06
  • Authors: Tingting Liu
    Resource Type: Article
    Publication ID: v1n3a07
    Abstract: Artificial intelligence (AI) is transforming human resources (HR) because of its capacity to enhance comfort levels, productivity, and health of employees. Workplace safety is improved by artificial intelligence (AI)-driven technologies that track...
    48-54
    DOI Icon Abstract views: 69 | DOI Icon PDF downloads: 35 | DOI Icon references: 25
    https://doi.org/10.5281/zenodo.13368399 https://n2t.net/ark:/40704/JCTAM.v1n3a07
    DOI Icon DOI: 10.5281/zenodo.13368399
    DOI Icon ARK: ark:/40704/JCTAM.v1n3a07
  • Authors: Jun Sun, Xin Wen, Gang Ping, Mingxuan Zhang
    Resource Type: Article
    Publication ID: v1n3a08
    Abstract: This study investigates using large-scale linguistic models (LLM) in media analysis to predict stock market risk. This research combines the best language processing techniques with traditional real-time analysis to create a comprehensive approach...
    55-65
    DOI Icon Abstract views: 387 | DOI Icon PDF downloads: 191 | DOI Icon references: 41
    https://doi.org/10.5281/zenodo.13377298 https://n2t.net/ark:/40704/JCTAM.v1n3a08
    DOI Icon DOI: 10.5281/zenodo.13377298
    DOI Icon ARK: ark:/40704/JCTAM.v1n3a08
  • Authors: Alex George. Gordon, Lucia Greece, Richard
    Resource Type: Article
    Publication ID: v1n3a09
    Abstract: With the continuous development and rapid progress of the information and computer age, large language model technology has been widely used in various fields and development operators, including, of course, the field of financial technology. In...
    66-72
    DOI Icon Abstract views: 49 | DOI Icon PDF downloads: 24 | DOI Icon references: 30
    https://doi.org/10.5281/zenodo.13379307 https://n2t.net/ark:/40704/JCTAM.v1n3a09
    DOI Icon DOI: 10.5281/zenodo.13379307
    DOI Icon ARK: ark:/40704/JCTAM.v1n3a09
  • Authors: Mingxuan Yang, Decheng Huang, Haodong Zhang, Wenxuan Zheng
    Resource Type: Article
    Publication ID: v1n3a10
    Abstract: This research investigates how Artificial Intelligence (AI) can be used in precision medicine to improve treatment strategies by analysing genomic data. We explore sophisticated machine learning methods for examining complicated genomic datasets,...
    73-84
    DOI Icon Abstract views: 306 | DOI Icon PDF downloads: 117 | DOI Icon references: 41
    https://doi.org/10.5281/zenodo.13380619 https://n2t.net/ark:/40704/JCTAM.v1n3a10
    DOI Icon DOI: 10.5281/zenodo.13380619
    DOI Icon ARK: ark:/40704/JCTAM.v1n3a10
  • Authors: Wanxin Li
    Resource Type: Article
    Publication ID: v1n3a11
    Abstract: User-centered design is important in serving vulnerable groups, which means that we consider this perspective when researching and developing new technologies and systems, and add humanistic background and diversity considerations. Human-computer...
    85-90
    DOI Icon Abstract views: 305 | DOI Icon PDF downloads: 104 | DOI Icon references: 17
    https://doi.org/10.5281/zenodo.13506623 https://n2t.net/ark:/40704/JCTAM.v1n3a11
    DOI Icon DOI: 10.5281/zenodo.13506623
    DOI Icon ARK: ark:/40704/JCTAM.v1n3a11
  • Authors: Wanxin Li
    Resource Type: Article
    Publication ID: v1n3a12
    Abstract: This article investigates how to alleviate logistical pain points and alter logistics systems by reconstructing the system's digital user interface/user experience (UI/UX) and demonstrating current logistics systems' operation modes and...
    91-96
    DOI Icon Abstract views: 90 | DOI Icon PDF downloads: 47 | DOI Icon references: 17
    https://doi.org/10.5281/zenodo.13507296 https://n2t.net/ark:/40704/JCTAM.v1n3a12
    DOI Icon DOI: 10.5281/zenodo.13507296
    DOI Icon ARK: ark:/40704/JCTAM.v1n3a12