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. 2 No. 2 (2025)
View Vol. 2 No. 2 (2025)

All articles published in this issue have undergone a thorough peer review process, and stringent checks for repetition rates have been implemented to ensure the integrity of the content.

Total number of articles in this issue: 4
Total number of pages in this issue: 30

For inquiries regarding the content of specific articles, please feel free to contact the respective authors via their provided email addresses. For questions related to the journal itself, please reach out directly to SUAS Press.

Published: 2025-03-03

Articles

  • A Comprehensive Review of Artificial Intelligence Applications in Building Information Modeling (BIM) and Future Perspectives
    Authors: Lin Yang
    Resource Type: Article
    Disciplines: Artificial Intelligence and Intelligence | Subjects: Machine Learning
    Publication ID: v2n2a01
    Abstract: Technologies like Artificial Intelligence (AI), the Internet of Things (IoT), cloud computing, and big data analytics are converging and leading the construction industry to a transformation towards digitization and enhancing construction...
    1-10
    DOI Icon Abstract views: 152 | DOI Icon PDF downloads: 60 | DOI Icon references: 26
    DOI Icon DOI: 10.70393/6a6374616d.323635
    DOI Icon ARK: ark:/40704/JCTAM.v2n2a01
  • Sign Language Recognition and Application Based on Graph Neural Networks: Innovative Integration in TV News Sign Language
    Authors: Peilai Yu
    Resource Type: Article
    Disciplines: Artificial Intelligence and Intelligence | Subjects: Machine Learning
    Publication ID: v2n2a02
    Abstract: With the rapid development of information technology, sign language recognition plays an extremely important role in the communication among people with hearing impairments. Especially in the context of television news, the real-time and accuracy...
    11-15
    DOI Icon Abstract views: 137 | DOI Icon PDF downloads: 45 | DOI Icon references: 28
    DOI Icon DOI: 10.70393/6a6374616d.323636
    DOI Icon ARK: ark:/40704/JCTAM.v2n2a02
  • Enhancing Video Conferencing Experience through Speech Activity Detection and Lip Synchronization with Deep Learning Models
    Authors: Weikun Lin
    Resource Type: Article
    Disciplines: Artificial Intelligence and Intelligence | Subjects: Speech Recognition
    Publication ID: v2n2a03
    Abstract: As video conferencing becomes increasingly integral to modern communication, the need for high-quality synchronization between speech and visual elements is paramount. Speech Activity Detection (VAD) and lip synchronization technologies play...
    16-23
    DOI Icon Abstract views: 60 | DOI Icon PDF downloads: 15 | DOI Icon references: 27
    DOI Icon DOI: 10.70393/6a6374616d.323637
    DOI Icon ARK: ark:/40704/JCTAM.v2n2a03
  • InceptionV3-Based Blood Cell Classification for Cancer Detection
    Authors: Runhai He, Quanhua Zhou
    Resource Type: Article
    Disciplines: Computer Science | Subjects: Image Classification
    Publication ID: v2n2a04
    Abstract: Blood cell morphological analysis plays a vital role in clinical diagnosis, especially in the early detection of leukemia, anemia and other blood system diseases. Conventional image processing techniques are difficult to deal with complex...
    24-30
    DOI Icon Abstract views: 48 | DOI Icon PDF downloads: 14 | DOI Icon references: 13
    DOI Icon DOI: 10.70393/6a6374616d.323737
    DOI Icon ARK: ark:/40704/JCTAM.v2n2a04
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