Vol. 2 No. 2 (2024)

					View Vol. 2 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: 8
Number of pages in this issue: 53

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: 2024-04-01

Articles

  • Authors: Ting Liu, Hang Ju
    Resource Type: Article
    Publication ID: v2n2a01
    Abstract: With the rapid development of technology and the continuous progress of society, the logistics and warehousing industry is facing unprecedented challenges and opportunities. The IOT and AI, as the two pillars of modern technology, have brought...
    1-4
    DOI Icon Abstract views: 146 | DOI Icon PDF downloads: 71 | DOI Icon references: 15
    https://doi.org/10.5281/zenodo.10755279
    DOI Icon DOI: 10.5281/zenodo.10755279
  • Authors: Zhanxin Zhou, Changxin Xu, Yuxin Qiao, Fanghao Ni, Jize Xiong
    Resource Type: Article
    Publication ID: v2n2a02
    Abstract: In order to deal with the problem of imbalance and complex feature relationship in network data classification, this study proposes a machine learning classification method, combined with improved SMOTE technology and genetic algorithm...
    5-12
    DOI Icon Abstract views: 289 | DOI Icon PDF downloads: 109 | DOI Icon references: 30
    https://doi.org/10.5281/zenodo.10775504
    DOI Icon DOI: 10.5281/zenodo.10775504
  • Authors: Zhanxin Zhou, Changxin Xu, Yuxin Qiao, Jize Xiong, Jiqiang Yu
    Resource Type: Article
    Publication ID: v2n2a03
    Abstract: With the development of industrial automation, the accurate prediction of the health state of equipment becomes particularly important. This study aims to address the problem of application of small sample unbalanced data in device life...
    13-20
    DOI Icon Abstract views: 201 | DOI Icon PDF downloads: 80 | DOI Icon references: 30
    https://doi.org/10.5281/zenodo.10775533
    DOI Icon DOI: 10.5281/zenodo.10775533
  • Authors: Hongpeng Fu, Sunan Xiang, Xiangji Kong
    Resource Type: Article
    Publication ID: v2n2a04
    Abstract: With the acceleration of urbanization, smart cities are increasingly entering the public consciousness. Beijing, a city facing severe water scarcity, has seen some relief in its water supply pressure through the South-to-North Water Diversion...
    21-28
    DOI Icon Abstract views: 221 | DOI Icon PDF downloads: 96 | DOI Icon references: 48
    https://doi.org/10.5281/zenodo.10791242
    DOI Icon DOI: 10.5281/zenodo.10791242
  • Authors: Yanting Ip, Xiaoying Cai, Leeyi Zhang, Huilin Lin, Minhui Zhou
    Resource Type: Article
    Publication ID: v2n2a05
    Abstract: Oral lichen planus (OLP) was first publicly described by Wilson in 1869 as a skin disorder of the oral mucosa that presents with white streaks, white papules, white patches, erythema, vesicles or blisters. It mainly affects the buccal mucosa,...
    29-33
    DOI Icon Abstract views: 136 | DOI Icon PDF downloads: 38 | DOI Icon references: 23
    https://doi.org/10.5281/zenodo.10793349
    DOI Icon DOI: 10.5281/zenodo.10793349
  • Authors: Qingqing Song, Zhen Wu, Shaoliang Xia
    Resource Type: Article
    Publication ID: v2n2a06
    Abstract: This paper proposes an effective disaster recovery strategy and load balancing strategy for web systems based on traditional centralized distributed architecture, which are widely used in small and medium-sized enterprises. In the disaster...
    34-38
    DOI Icon Abstract views: 96 | DOI Icon PDF downloads: 31 | DOI Icon references: 9
    https://doi.org/10.5281/zenodo.10836116
    DOI Icon DOI: 10.5281/zenodo.10836116
  • Authors: Rui Ding, Elly Yijun Zhu, Chao Zhao, Haoyu Yang, Jing Li, Yue Wu
    Resource Type: Article
    Publication ID: v2n2a07
    Abstract: This study aims to explore a method for optimizing lightweight small models in the field of deep learning by leveraging large models to generate training data. By introducing large-scale pre-trained models and enriching the training set through...
    39-45
    DOI Icon Abstract views: 135 | DOI Icon PDF downloads: 49 | DOI Icon references: 24
    https://doi.org/10.5281/zenodo.10841043
    DOI Icon DOI: 10.5281/zenodo.10841043
  • Authors: Ye Zhang, Kailin Gui, Mengran Zhu, Yong Hao, Haozhan Sun
    Resource Type: Article
    Publication ID: v2n2a08
    Abstract: This paper introduces an innovative recommendation system that leverages Langchain and Large Language Models (LLMs) to provide tailored anime suggestions. By employing a sophisticated data analysis and model training framework, the system...
    46-53
    DOI Icon Abstract views: 437 | DOI Icon PDF downloads: 100 | DOI Icon references: 27
    https://doi.org/10.5281/zenodo.10878197
    DOI Icon DOI: 10.5281/zenodo.10878197