Vol. 1 No. 2 (2024)

View Vol. 1 No. 2 (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: 5
Number of pages in this issue: 42

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: 2024-07-01

Articles

  • Low-Latency, High-Throughput Load Balancing Algorithms
    Authors: Lun Wang
    Resource Type: Article
    Publication ID: v1n2a01
    Abstract: This paper explores the development and implementation of advanced load balancing algorithms aimed at minimizing latency while maximizing throughput in distributed systems. Traditional load balancing methods, such as round-robin and least...
    1-9
    DOI Icon Abstract views: 798 | DOI Icon PDF downloads: 272 | DOI Icon references: 16
    DOI Icon DOI: 10.5281/zenodo.12587888
    PURL: suas/JCTAM.v1n2a01
    DOI Icon ARK: ark:/40704/JCTAM.v1n2a01
  • Load Balancing Strategies in Heterogeneous Environments
    Authors: Lun Wang, Wei Fang, Yudi Du
    Resource Type: Article
    Publication ID: v1n2a02
    Abstract: In the realm of network systems, load balancing plays a crucial role in ensuring efficient resource utilization and maintaining optimal performance levels. As network environments become increasingly heterogeneous, characterized by a wide range of...
    10-18
    DOI Icon Abstract views: 484 | DOI Icon PDF downloads: 181 | DOI Icon references: 11
    DOI Icon DOI: 10.5281/zenodo.12599358
    PURL: suas/JCTAM.v1n2a02
    DOI Icon ARK: ark:/40704/JCTAM.v1n2a02
  • Assessing User Trust in LLM-based Mental Health Applications: Perceptions of Reliability and Effectiveness
    Authors: Yuxin Zhao, Jiawei Wu, Ping Qu, Beibei Zhang, Hao Yan
    Resource Type: Article
    Publication ID: v1n2a03
    Abstract: The advent of Large Language Models (LLMs) in mental health applications has opened new avenues for providing psychological support and interventions. These applications leverage advanced natural language processing capabilities to offer real-time...
    19-26
    DOI Icon Abstract views: 601 | DOI Icon PDF downloads: 219 | DOI Icon references: 48
    DOI Icon DOI: 10.5281/zenodo.12599805
    PURL: suas/JCTAM.v1n2a03
    DOI Icon ARK: ark:/40704/JCTAM.v1n2a03
  • Application of Semantic Analysis Technology in Natural Language Processing
    Authors: Beibei Zhang, Hao Yan, Jiawei Wu, Ping Qu
    Resource Type: Article
    Publication ID: v1n2a04
    Abstract: With the evolution of intelligent technology, especially in the field of natural language processing, semantic analysis has become a powerful tool for studying users. It is good at processing and interpreting numerous unformatted information texts...
    27-34
    DOI Icon Abstract views: 275 | DOI Icon PDF downloads: 137 | DOI Icon references: 51
    DOI Icon DOI: 10.5281/zenodo.12601286
    PURL: suas/JCTAM.v1n2a04
    DOI Icon ARK: ark:/40704/JCTAM.v1n2a04
  • Comparison of Text Classification Algorithms based on Deep Learning
    Authors: Ping Qu, Beibei Zhang, Jiawei Wu, Hao Yan
    Resource Type: Article
    Publication ID: v1n2a05
    Abstract: In the technical battlefield of text classification, extracting key features and solving the sparsity problem play a decisive role in improving the performance of classification results. Euclidean geometric models often distort the processed...
    35-42
    DOI Icon Abstract views: 476 | DOI Icon PDF downloads: 157 | DOI Icon references: 49
    DOI Icon DOI: 10.5281/zenodo.12601298
    PURL: suas/JCTAM.v1n2a05
    DOI Icon ARK: ark:/40704/JCTAM.v1n2a05