About the Journal

Journal of Computer Technology and Applied Mathematics is peer-reviewed journal of Southern United Academy of Sciences published in the field of Applied Mathematics, Computer Science and Technology. The journal registers independent DOI and ARK for each article. The DOI prefix is ​​10.70393 and the ARK prefix is ​​40704.

ISSN 3007-4126 (Print), ISSN 3007-4134 (Online), ISSN 3007-4142 (Digital), International CODEN (CAS): JCTAAD

The topics related to this journal include:

  • Applied Mathematics - Computational Mathematics, Mathematical Modeling, Numerical Analysis
  • Statistical Analysis - Probability Theory, Data Mining, Bayesian Statistics
  • Geometric Theory - Algebraic Geometry, Differential Geometry, Topology
  • Network Technology - Wireless Networks, Network Security, Internet of Things (IoT)
  • Artificial Intelligence and Intelligence - Machine Learning, Deep Learning, Neural Networks
  • Big Data Technology - Data Warehousing, Data Analytics, Distributed Computing
  • Computer Vision - Image Recognition, Object Detection, Motion Analysis
  • Natural Language Processing - Text Mining, Speech Recognition, Machine Translation
  • Computer Application Technology - Human-Computer Interaction, Embedded Systems, Mobile Computing
  • Software Technology - Software Engineering, Software Testing, Software Architecture

All articles published by JCTAM are indexed by OpenAIRE, BASE, WorldCat and ICI.

(OpenAIRE - DataSources | BASE - Bielefeld Academic Search Engine | WorldCat - OCLC | ICI - European Funds)

All articles published are rigorously reviewed meeting the Journal Quality standards.

Announcements

Current Issue

Vol. 1 No. 4 (2024)
View Vol. 1 No. 4 (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: 14
Number of pages in this issue: 122

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: 2024-11-02

Articles

  • AI Machine Vision Automated Defect Detection System
    Authors: Meina Qu
    Resource Type: Article
    Disciplines: Computer Science | Subjects: Deep Learning
    Publication ID: v1n4a01
    Abstract: With the rapid development of smart manufacturing technologies, automated production has become an important trend in the transformation of the industrial chain. Among various automation applications, robotic arm grasping and visual inspection...
    1-11
    DOI Icon Abstract views: 51 | DOI Icon PDF downloads: 19 | DOI Icon references: 28
    DOI Icon DOI: 10.5281/zenodo.13763253
    DOI Icon ARK: ark:/40704/JCTAM.v1n4a01
  • Machine Vision-Based Automatic Detection for Electromechanical Equipment
    Authors: Shijie Lyu
    Resource Type: Article
    Disciplines: Computer Science | Subjects: Machine Vision
    Publication ID: v1n4a02
    Abstract: With the continuous development of industrial production, efficient and accurate inspection of mechanical equipment has become crucial for production safety, efficiency, and economic benefits. By collecting and analyzing imaging data from...
    12-20
    DOI Icon Abstract views: 25 | DOI Icon PDF downloads: 16 | DOI Icon references: 36
    DOI Icon DOI: 10.5281/zenodo.13830975
    DOI Icon ARK: ark:/40704/JCTAM.v1n4a02
  • The Technology of Face Synthesis and Editing Based on Generative Models
    Authors: Shijie Lyu
    Resource Type: Article
    Disciplines: Computer Science | Subjects: Computer Vision
    Publication ID: v1n4a03
    Abstract: This paper reviews the current state of research on generative AI both domestically and internationally, exploring its potential applications and challenges across various fields. In education, generative AI enhances students' academic...
    21-27
    DOI Icon Abstract views: 46 | DOI Icon PDF downloads: 22 | DOI Icon references: 39
    DOI Icon DOI: 10.5281/zenodo.13853413
    DOI Icon ARK: ark:/40704/JCTAM.v1n4a03
  • A Systematic Review of Computer Vision-Based Virtual Conference Assistants and Gesture Recognition
    Authors: Weikun Lin
    Resource Type: Article
    Disciplines: Computer Science | Subjects: Computer Vision
    Publication ID: v1n4a04
    Abstract: In the process of introducing gesture recognition, it is essential to explore its technical background and implementation methods. Gesture recognition algorithms based on deep learning perform exceptionally well when processing real-time video...
    28-35
    DOI Icon Abstract views: 45 | DOI Icon PDF downloads: 13 | DOI Icon references: 40
    DOI Icon DOI: 10.5281/zenodo.13889718
    DOI Icon ARK: ark:/40704/JCTAM.v1n4a04
  • A Comprehensive Framework for Multimodal Sensor Fusion in Intelligent Manufacturing: Innovations, Interpretability, and Real-world Applications
    Authors: Yue Zhu
    Resource Type: Article
    Disciplines: Computer Science | Subjects: Deep Learning
    Publication ID: v1n4a05
    Abstract: This paper presents the novel work of developing an intelligent manufacturing framework based on multimodal sensor integration and computer vision. In this paper, we propose a hybrid fusion method that includes both early and late fusion with...
    36-46
    DOI Icon Abstract views: 45 | DOI Icon PDF downloads: 17 | DOI Icon references: 19
    DOI Icon DOI: 10.5281/zenodo.13905495
    DOI Icon ARK: ark:/40704/JCTAM.v1n4a05
  • Understanding the Interrelation Between Temperature and Meteorological Factors: A Case Study of Szeged Using Machine Learning Techniques
    Authors: Chang Che, Junchi Tian
    Resource Type: Article
    Disciplines: Computer Science | Subjects: Machine Learning
    Publication ID: v1n4a06
    Abstract: Temperature serves as a fundamental indicator of thermal conditions, influencing various natural processes and human activities. This study investigates the relationship between temperature and other meteorological factors, including humidity,...
    47-52
    DOI Icon Abstract views: 31 | DOI Icon PDF downloads: 15 | DOI Icon references: 38
    DOI Icon DOI: 10.5281/zenodo.13924235
    DOI Icon ARK: ark:/40704/JCTAM.v1n4a06
  • Game Theory: Concepts, Applications, and Insights from Operations Research
    Authors: Chang Che, Junchi Tian
    Resource Type: Article
    Disciplines: Applied Mathematics | Subjects: Game Theory
    Publication ID: v1n4a07
    Abstract: Game theory is a branch of complex system analysis that deals with the mathematical modeling of strategic interactions among rational agents. It has been widely used across various fields, such as economics, social sciences, computer science, and...
    53-59
    DOI Icon Abstract views: 118 | DOI Icon PDF downloads: 38 | DOI Icon references: 28
    DOI Icon DOI: 10.5281/zenodo.13924241
    DOI Icon ARK: ark:/40704/JCTAM.v1n4a07
  • A Review of Multimodal Interaction Technologies in Virtual Meetings
    Authors: Weikun Lin
    Resource Type: Article
    Disciplines: Artificial Intelligence | Subjects: Natural Language Processing
    Publication ID: v1n4a08
    Abstract: Multimodal interaction technologies enhance the planning of human-to-human virtual meetings that involve Call Centers located in one part of the world and customers in other activities through the use of interacting with people regardless of their...
    60-68
    DOI Icon Abstract views: 68 | DOI Icon PDF downloads: 20 | DOI Icon references: 34
    DOI Icon DOI: 10.5281/zenodo.13988124
    DOI Icon ARK: ark:/40704/JCTAM.v1n4a08
  • Overview of Multimodal Generative Models in Natural Language Processing and Computer Vision
    Authors: Liang Li
    Resource Type: Article
    Disciplines: Artificial Intelligence | Subjects: Multimodal Generative Models
    Publication ID: v1n4a09
    Abstract: Multimodal generative models have become essential in the deep learning renaissance, as they provide unparalleled flexibility over a diverse context of applications within Natural Language Processing (NLP) and Computer Vision (CV). In this paper,...
    69-78
    DOI Icon Abstract views: 60 | DOI Icon PDF downloads: 26 | DOI Icon references: 19
    DOI Icon DOI: 10.5281/zenodo.13988327
    DOI Icon ARK: ark:/40704/JCTAM.v1n4a09
  • The Application of Real-time Emotion Recognition in Video Conferencing
    Authors: Weikun Lin
    Resource Type: Article
    Disciplines: Computer Science | Subjects: Deep Learning
    Publication ID: v1n4a10
    Abstract: Video conferencing has become a crucial tool for global remote collaboration, but existing platforms have limitations in capturing and conveying participants' emotions. Real-time emotion recognition technology, by combining computer vision,...
    79-88
    DOI Icon Abstract views: 22 | DOI Icon PDF downloads: 4 | DOI Icon references: 27
    DOI Icon DOI: 10.5281/zenodo.13926257
    DOI Icon ARK: ark:/40704/JCTAM.v1n4a10
  • Enhancing Personalized Search with AI: A Hybrid Approach Integrating Deep Learning and Cloud Computing
    Authors: Jiayi Wang, Tianyu Lu, Lin Li, Decheng Huang
    Resource Type: Article
    Disciplines: Computer Science | Subjects: Deep Learning
    Publication ID: v1n4a11
    Abstract: This paper presents a novel hybrid approach for enhancing personalized search by integrating deep learning techniques with cloud computing infrastructure. The proposed system uses a multi-layer adaptive model augmented with a hierarchical...
    89-99
    DOI Icon Abstract views: 20 | DOI Icon PDF downloads: 2 | DOI Icon references: 42
    DOI Icon DOI: 10.5281/zenodo.13998900
    DOI Icon ARK: ark:/40704/JCTAM.v1n4a11
  • Enhancing Bank Credit Risk Management Using the C5.0 Decision Tree Algorithm
    Authors: Qi Xin, Runze Song, Zeyu Wang, Zeqiu Xu, Fanyi Zhao
    Resource Type: Article
    Disciplines: Computer Science | Subjects: Machine Learning in Finance
    Publication ID: v1n4a12
    Abstract: This paper discusses the relationship between financial fraud risk and credit risk in China's financial market, and points out that financial statement fraud has a serious impact on the fairness and transparency of the capital market, and...
    100-107
    DOI Icon Abstract views: 163 | DOI Icon PDF downloads: 72 | DOI Icon references: 35
    DOI Icon DOI: 10.5281/zenodo.14032041
    DOI Icon ARK: ark:/40704/JCTAM.v1n4a12
  • Applications of Large Language Models in Multimodal Learning
    Authors: Peiyang Yu, Xiaochuan Xu, Jiani Wang
    Resource Type: Article
    Disciplines: Computer Sciences | Subjects: Large Language Models
    Publication ID: v1n4a13
    Abstract: In this paper, we provide a systematic review of the emerging field on applications for Large Language Models (LLMs) in multimodal learning, especially how such methodologies help improve orchestrated task performance by integrating different...
    108-116
    DOI Icon Abstract views: 95 | DOI Icon PDF downloads: 34 | DOI Icon references: 25
    DOI Icon DOI: 10.5281/zenodo.14001455
    DOI Icon ARK: ark:/40704/JCTAM.v1n4a13
  • Investigations into the Evolution of Generative AI
    Authors: Xueyi Cheng
    Resource Type: Article
    Disciplines: Artificial Intelligence | Subjects: Artificial Neural Networks
    Publication ID: v1n4a14
    Abstract: Machine Learning, a pivotal technology within the realm of artificial intelligence, has experienced remarkable progress in recent times. This research offers a thorough and structured presentation of machine learning. It begins with a...
    117-122
    DOI Icon Abstract views: 20 | DOI Icon PDF downloads: 13 | DOI Icon references: 7
    DOI Icon DOI: 10.5281/zenodo.14003350
    DOI Icon ARK: ark:/40704/JCTAM.v1n4a14
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