VIEW ARTICLE (4)
STTDetail
1

Machine learning-based methods for supporting fake news detection

In the context of rapidly disseminating online information, fake news has emerged as a serious threat to information security and public trust. Traditional detection methods based on content analysis...

Author: Anh Tran Thi Lan

Keyword: Fake news detection hypergraph neural networks machine learning graph-based models HGFND

2

Assessing the clinical reliability of deep learning models in breast thermography: an exploratory study using explainable AI

Infrared thermography is a promising non-invasive modality for breast cancer screening. However, ensuring the clinical reliability of deep learning models under small-data conditions remains...

Author: Dung Tran Ngoc, Son Pham Nam, Binh Do Khoa, Nam Le Hai, Hoang Nguyen Minh, Hoc Pham Xuan

Keyword: breast cancer diagnosis infrared thermography deep learning Explainable AI (XAI) Clinical reliability Model interpretability

3

A comprehensive review of generative artificial intelligence applications in data visualization

Using natural language to generate visual representations of data (NL2VIS) is emerging as a promising research direction, driven by the rapid development of Generative AI (GenAI). Given the growing...

Author: Huế Lương Thị Minh, Nguyễn Vịnh Thế

Keyword: Artificial Intelligence (AI) Generative AI LLMs Visualization ChatGPT PRISMA

4

Applying transformer architecture to enhance attack detection performance in intrusion detection systems

Intrusion Detection Systems (IDS) are crucial in safeguarding network security against increasingly sophisticated threats. In this study, we propose a Transformer-based intrusion detection model to...

Author: Vu Phuong Thi, Ha Hoang Thi Hong, Truong Dinh Gia, Yen Tran Thi

Keyword: Intrusion Detection Transformer UNSW-NB15 Cybersecurity Self-attention

Vinh University journal of science

Tạp chí khoa học Trường Đại học Vinh

ISSN: 1859 - 2228

Governing body: Vinh University

  • Address: 182 Le Duan - Vinh City - Nghe An province
  • Phone: (+84) 238.3855.452 - Fax: (+84) 238.3855.269
  • Email: vinhuni@vinhuni.edu.vn
  • Website: https://vinhuni.edu.vn

 

License: 163/GP-BTTTT issued by the Minister of Information and Communications on May 10, 2023

Open Access License: Creative Commons CC BY NC 4.0

 

CONTACT

Editor-in-Chief: Assoc. Prof., Dr. Tran Ba Tien
Email: tientb@vinhuni.edu.vn

Deputy editor-in-chief: Assoc. Prof., Dr. Phan Van Tien
Email: vantienkxd@vinhuni.edu.vn

Sub-Editor: Dr. Do Mai Trang
Email: domaitrang@vinhuni.edu.vn

Editorial assistant: Msc. Le Tuan Dung, Msc. Phan The Hoa, Msc. Pham Thi Quynh Nga, Msc. Tran Thi Thai

  • Address: 4th Floor, Executive Building, No. 182, Le Duan street, Vinh city, Nghe An province.
  • Phone: (+84) 238-385-6700 | Hotline: (+84) 97-385-6700
  • Email: editors@vujs.vn
  • Website: https://vujs.vn

img