VIEW ARTICLE (3)
STTDetail
1

Garbage classification using deep learning technology

Garbage classification has always been an important issue in environmental protection, resource recycling, and social livelihood. However, garbage classification takes a lot of time and effort....

Author: Ngo Huu-Huy, Bui Tung Van, Le Linh Hung, Nguyen Minh Duy

Keyword: Artificial Intelligence; convolutional neural network; deep learning; garbage classification; machine learning.

2

Integrate deep neural network and support vector machine to improve the quality of voice processing in internet of things devices

Along with the development of science and technology, especially internet of things (IOT), IOT-related products increasingly contribute to improving people’s life. Among those products, it is...

Author: An Nguyễn Năng

Keyword: Deep learning voice recongnition I-vector Internet of Thing.

3

Improving performance for imbalanced data classification using oversampling and characteristics of each cluster

This paper proposes a method to enhance the effectiveness of classifying imbalanced data. The main contribution of the method is integrating the K-means clustering algorithm and the minority...

Author: Phong Phan Anh, Thanh Le Van

Keyword: Data Classification Imbalanced Data Oversampling K-Means SMOTE

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: 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