Section on Information and Communication Technology JST-ICT Vol. 14 No. 01 published in June 2025

2025-07-04

Section on Information and Communication Technology (JST-ICT) operates as an open-access journal that publishes full-text articles in English, two issues per year (in June and December). All scientific articles published in JST-ICT undergo a double-blind peer review process by at least two reputable experts who have numerous international publications in prestigious international databases in the specialized fields related to the articles.

JST-ICT Vol. 14 No. 01 published in June 2025 with 8 scientific articles, all of which are original research with scientific and practical significance. These articles contribute to the knowledge within and beyond the specialized field of Information and Communication Technology. They cover various topics of current interest, apply new technologies and techniques, address and enhance the problem-solving efficiency such as searching semantically on a large dataset of hacking news [1], extracting spatial-temporal features using deep learning [2], post-quantum digital signature scheme [3], feature selection for storm surge forecasting [4], framework for HTTP/2 over MPQUIC [5], bitmap classification strategy for AMBTC-compressed images [6], machine learning-based dose recommendations for removal of residual thyroid tissue [7] and empirical analysis of RGB-IR feature fusion for UAV-based object detection [8]. The structure of the scientific articles is strictly organized according to the standard conventions of reputable international scientific journals.

To access the open-access articles of JST-ICT Vol. 14 No. 01 for reading and/or downloading, please proceed to the following link:

https://jst.lqdtu.edu.vn/index.php/ict/issue/view/84

List of articles in JST-ICT Vol. 14 No. 01:

  1. Ngoc Long Do, The Hung Nguyen, Trung Dung Nguyen, Xuan Duc Le, Chi Thanh Nguyen, Quoc Khanh Nguyen, Thi Bich Van Pham, “A proposed distributed architecture for searching semantically on a large dataset of hacking news”.

DOI: 10.56651/lqdtu.jst.v14.n01.1040.ict

  1. Doi Thi Lan, “Extracting spatial-temporal features using deep learning in cooperative spectrum sensing”.

DOI: 10.56651/lqdtu.jst.v14.n01.1041.ict

  1. KimTuan Nguyen, Minh Duc Tong, Tuan Hao Hoang, Hong Dung Luu, “A new type of post-quantum digital signature scheme”.

DOI: 10.56651/lqdtu.jst.v14.n01.1042.ict

  1. Thi Hien Nguyen, Thi-Thu-Hong Phan, Sooyoul Kim, “Automatic feature selection for storm surge forecasting”.

DOI: 10.56651/lqdtu.jst.v14.n01.1043.ict

  1. Thanh Trung Nguyen, Minh Hai Vu, Phi Le Nguyen, Kien Nguyen, “A novel framework for HTTP/2 over MPQUIC: design and implementation”.

DOI: 10.56651/lqdtu.jst.v14.n01.1044.ict

  1. Duc Tuan Nguyen, “Adaptive reversible data hiding method using bitmap classification strategy for AMBTC-compressed images”

DOI: 10.56651/lqdtu.jst.v14.n01.1045.ict

  1. Thanh Trung Nguyen, Thi Thu Ha Ngo, Phu Minh Lai, “Machine learning-based dose recommendations for removal of residual thyroid tissue”.

DOI: 10.56651/lqdtu.jst.v14.n01.1046.ict

  1. Thi Lan Nguyen, Cao Truong Tran, “Empirical analysis of RGB-IR feature fusion for UAV-based object detection”

DOI: 10.56651/lqdtu.jst.v14.n01.1047.ict

The Editorial Board of JST-ICT welcomes all scientists and authors to submit their original research manuscripts for publication in the upcoming issue of the JST-ICT Vol. 14 No. 02 in Dec. 2025.

For more information, please visit us at the following address:

https://jst.lqdtu.edu.vn/index.php/ict/announcement/view/109.