Vol. 1 No. 1 (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: 15
Number of pages in this issue: 115

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: 2024-04-27

Articles

  • Authors: Jin Wang, JinFei Wang, Shuying Dai, Jiqiang Yu, Keqin Li
    Resource Type: Article
    Publication ID: v1n1a01
    Abstract: Automated dialogue systems are important applications of artificial intelligence, and traditional systems struggle to understand user emotions and provide empathetic feedback. This study integrates emotional intelligence technology into automated...
    1-5
    DOI Icon Abstract views: 108 | DOI Icon PDF downloads: 35 | DOI Icon references: 6
    https://doi.org/10.5281/zenodo.10864022
    DOI Icon DOI: 10.5281/zenodo.10864022
  • Authors: Shuying Dai, Jiajing Dai, Yuqiang Zhong, Taiyu Zuo, Yuhong Mo
    Resource Type: Article
    Publication ID: v1n1a02
    Abstract: This article pertains to an unmanned food delivery trolley, equipped with a transmission system, an obstacle avoidance mechanism, a data acquisition and processing module, a navigation and positioning system, a motion control unit, a hot and cold...
    6-12
    DOI Icon Abstract views: 147 | DOI Icon PDF downloads: 59 | DOI Icon references: 12
    https://doi.org/10.5281/zenodo.10866092
    DOI Icon DOI: 10.5281/zenodo.10866092
  • Authors: Qingqing Song, Shaoliang Xia
    Resource Type: Article
    Publication ID: v1n1a03
    Abstract: Outlier detection are widely applied in areas such as network performance optimization and pre-processing of machine learning data. In the field of machine learning, the objective is to enhance data quality, thereby improving the performance of...
    13-25
    DOI Icon Abstract views: 126 | DOI Icon PDF downloads: 53 | DOI Icon references: 25
    https://doi.org/10.5281/zenodo.10888672
    DOI Icon DOI: 10.5281/zenodo.10888672
  • Authors: Zhen Wu, Qingqing Song
    Resource Type: Article
    Publication ID: v1n1a04
    Abstract: Due to the impact of the COVID-19 epidemic and related policies, remote collaboration technology that is not limited by geographical location has begun to be widely used. Among them, virtual LAN, as an important remote collaboration technology,...
    26-32
    DOI Icon Abstract views: 40 | DOI Icon PDF downloads: 30 | DOI Icon references: 13
    https://doi.org/10.5281/zenodo.10938128
    DOI Icon DOI: 10.5281/zenodo.10938128
  • Authors: Keqin Li, Xirui Peng, Jintong Song, Bo Hong, Jin Wang
    Resource Type: Article
    Publication ID: v1n1a05
    Abstract: With the rapid advancement of technology, Augmented Reality (AR) technology, known for its ability to deeply integrate virtual information with the real world, is gradually transforming traditional work modes and teaching methods. Particularly in...
    33-39
    DOI Icon Abstract views: 112 | DOI Icon PDF downloads: 46 | DOI Icon references: 30
    https://doi.org/10.5281/zenodo.10965828
    DOI Icon DOI: 10.5281/zenodo.10965828
  • Authors: Hao Wang, Sergey Ablameyko
    Resource Type: Article
    Publication ID: v1n1a06
    Abstract: Small object detection is very popular in computer vision, and the attention mechanism can automatically learn and selectively focus on important information in the input, improving the performance and generalization ability of the model. This...
    40-45
    DOI Icon Abstract views: 132 | DOI Icon PDF downloads: 60 | DOI Icon references: 8
    https://doi.org/10.5281/zenodo.10986298
    DOI Icon DOI: 10.5281/zenodo.10986298
  • Authors: Armando Zhu, Keqin Li, Tong Wu, Peng Zhao, Bo Hong
    Resource Type: Article
    Publication ID: v1n1a07
    Abstract: With wearing masks becoming a new cultural norm, facial expression recognition (FER) while taking masks into account has become a significant challenge. In this paper, we propose a unified multi-branch vision transformer for facial expression...
    46-53
    DOI Icon Abstract views: 135 | DOI Icon PDF downloads: 34 | DOI Icon references: 52
    https://doi.org/10.5281/zenodo.11083875
    DOI Icon DOI: 10.5281/zenodo.11083875
  • Authors: Yaqian Qi, Yuan Feng, Jingxiao Tian, Xiangxiang Wang, Hanzhe Li
    Resource Type: Article
    Publication ID: v1n1a08
    Abstract: In recent years, the rapid advancement of artificial intelligence (AI) has spurred progress across various industries, including manufacturing, propelled further by the advent of big data. Notably, the processing industry, encompassing sectors...
    54-62
    DOI Icon Abstract views: 321 | DOI Icon PDF downloads: 147 | DOI Icon references: 29
    https://doi.org/10.5281/zenodo.11003949
    DOI Icon DOI: 10.5281/zenodo.11003949
  • Authors: Xiangxiang Wang, Jingxiao Tian, Yaqian Qi, Hanzhe Li, Yuan Feng
    Resource Type: Article
    Publication ID: v1n1a09
    Abstract: Short-term demand forecasting, often defined as less than an hour into the future, is critical to implementing dynamic control strategies and providing useful customer information in transportation applications. By understanding expected demand,...
    63-69
    DOI Icon Abstract views: 246 | DOI Icon PDF downloads: 113 | DOI Icon references: 31
    https://doi.org/10.5281/zenodo.11003963
    DOI Icon DOI: 10.5281/zenodo.11003963
  • Authors: Keqin Li, Armando Zhu, Peng Zhao, Jintong Song, Jiabei Liu
    Resource Type: Article
    Publication ID: v1n1a10
    Abstract: This study explores the application of deep learning technologies in software development processes, particularly in automating code reviews, error prediction, and test generation to enhance code quality and development efficiency. Through a...
    70-76
    DOI Icon Abstract views: 144 | DOI Icon PDF downloads: 47 | DOI Icon references: 30
    https://doi.org/10.5281/zenodo.11084103
    DOI Icon DOI: 10.5281/zenodo.11084103
  • Authors: Yong Wang, Xiaoan Zhan, Tong Zhan, Jiahao Xu, Xinzhu Bai
    Resource Type: Article
    Publication ID: v1n1a11
    Abstract: At present, face recognition theory and technology have achieved great success, and are widely used in key fields such as government, finance and military. Similar to other information systems, face recognition systems are also faced with various...
    77-84
    DOI Icon Abstract views: 511 | DOI Icon PDF downloads: 161 | DOI Icon references: 30
    https://doi.org/10.5281/zenodo.11004115
    DOI Icon DOI: 10.5281/zenodo.11004115
  • Authors: Qishuo Cheng, Lichen Qin, Jinxin Xu, Han Wang, Yuqiang Zhong
    Resource Type: Article
    Publication ID: v1n1a12
    Abstract: In recent years, the rapid development of artificial intelligence technology has promoted the digital transformation of the financial field. Artificial intelligence technology began in the 1950s, and with the development of computer science, big...
    85-92
    DOI Icon Abstract views: 228 | DOI Icon PDF downloads: 80 | DOI Icon references: 35
    https://doi.org/10.5281/zenodo.11032288
    DOI Icon DOI: 10.5281/zenodo.11032288
  • Authors: Mengran Zhu, Ye Zhang, Xinyu Zhang
    Resource Type: Article
    Publication ID: v1n1a13
    Abstract: In the realm of financial markets, accurate prediction of market trends plays a pivotal role in guiding investment decisions and maximizing returns. This paper presents an innovative ensemble model that combines neural networks (NN), residual...
    93-99
    DOI Icon Abstract views: 163 | DOI Icon PDF downloads: 48 | DOI Icon references: 24
    https://doi.org/10.5281/zenodo.11060009
    DOI Icon DOI: 10.5281/zenodo.11060009
  • Authors: Jiajun Jin, Fanghao Ni, Shuying Dai, Keqin Li, Bo Hong
    Resource Type: Article
    Publication ID: v1n1a14
    Abstract: Federated Learning (FL) has gained prominence as a method for training models on edge computing devices, enabling the preservation of data privacy by eliminating the need to share sensitive informa- tion. While the majority of FL approaches have...
    100-108
    DOI Icon Abstract views: 367 | DOI Icon PDF downloads: 136 | DOI Icon references: 78
    https://doi.org/10.5281/zenodo.11068390
    DOI Icon DOI: 10.5281/zenodo.11068390
  • Authors: Jingxiao Tian, Yaqian Qi, Hanzhe Li, Yuan Feng, Xiangxiang Wang
    Resource Type: Article
    Publication ID: v1n1a15
    Abstract: This paper explores the profound impact of deep learning technology on computer vision and its wide-ranging applications across multiple domains. From pedestrian detection to medical image analysis, deep learning's versatility is harnessed...
    109-115
    DOI Icon Abstract views: 450 | DOI Icon PDF downloads: 170 | DOI Icon references: 29
    https://doi.org/10.5281/zenodo.11072457
    DOI Icon DOI: 10.5281/zenodo.11072457