Data base

This study develops a decision support system, named Academic Quality Assurance, for supporting the analyzing of data collected from multiple semesters. The system focuses on assisting users in filtering data based on semesters, courses, departments, and programs, and then visualizing the data, providing comparisons.

13p viling 11-10-2024 4 1   Download

This paper introduces a new clustering technique based on granular computing. In tradional clustering algorithms, the integration of the high shaping capability of the existing datasets becomes fussy which in turn results in inferior functioning.

8p viling 11-10-2024 3 1   Download

Data was analyzed based on color-coded themes, which results in four significant findings: (1), the diversity of children’s oral language functions; (2), the Participant and Spectator roles of language in connection to embedded speech and displaced speech; (3), the interaction of Girl Talk and Boy Talk; and (4), the children’s peer support through Zone of Proximal Development.

11p viling 11-10-2024 1 0   Download

This paper aims to examine the patterns of codeswitching instances in a Vietnamese TV show called “Người Ấy Là Ai” (Who is Single?). Data presented in this paper was gathered from a 138-minute episode in the show and then analysed based on the framework of Poplack (1980).

11p viling 11-10-2024 3 0   Download

Low-rank representation (LRR) plays a significant role in image classification tasks due to its ability to capture the underlying structure and variations in image data. However, traditional low-rank representation-based dictionary learning methods struggle to leverage discriminative information effectively.

9p viling 11-10-2024 3 1   Download

This paper is structured as follows. The following section presents related work. Section 3 summarizes the characteristics of the two datasets utilized in the model and the system’s overall architecture for image-based disease diagnosis. Section 4 provides our experimental results that compare the performance metrics with other studies.

6p viengfa 28-10-2024 3 2   Download

Sentiment Analysis and Opinion Mining have emerged as highly popular fields for analyzing and extracting valuable information from textual data sourced from diverse platforms like Facebook, Twitter, and Amazon. These techniques hold a crucial role in empowering businesses to actively enhance their strategies by gaining comprehensive insights into customers' feedback regarding their products.

6p viengfa 28-10-2024 4 2   Download

High quality of service (QoS) requirements in multi-priority wireless sensor networks pose new challenges to the Internet of Things (IoT). In a multi-event wireless sensor network (MWSN), nodes generate different types of data packets with different priority such as urgent (high priority) or normal (low priority), with different traffic proportion.

10p viengfa 28-10-2024 3 2   Download

This study presents a novel neural network (NN) framework for developing force fields specific to graphene monolayers, utilizing data obtained from first-principles calculations. The authors analyze three primary force components, force magnitude and the cosines of two angles across different configurations of surrounding carbon atoms.

7p viengfa 28-10-2024 5 2   Download

The study aims at examining EFL teachers’ perceptions on their roles and how they occupy these roles in project-based learning at a Vietnamese state university. Narrative interviews were employed to collect qualitative data with the participation of five teachers at the Faculty of Foreign Languages at Ho Chi Minh City University of Technology and Education.

8p viengfa 28-10-2024 1 1   Download

Artificial neural networks, which are an essential tool in Machine Learning, are used to solve many types of problems in different fields. This article will introduce an application of the artificial neural network model in the diagnosis of heart disease based on the heart.csv data file.

6p viengfa 28-10-2024 3 2   Download

This paper develops an Artificial Neural Network (ANN) model based on 96 experimental data to forecast the dynamic modulus of asphalt concrete mixtures. This study applied the repeated KFold cross-validation technique with 10 folds on the training data set to make the simulation results more reliable and find a model with more general predictive power.

9p viengfa 28-10-2024 5 2   Download

Paper "Multi-source data analysis for bike sharing systems" propose two types of regression models using multi-source data to predict the hourly bike pick-up demand at cluster level: Similarity Weighted K-Nearest-Neighbor (SWK) based regression and Artificial Neural Network (ANN). SWK-based regression models learn the weights of several meteorological factors and/or taxi usage and use the correlation between consecutive time slots to predict the bike pick-up demand.

6p tuongtieume 03-04-2025 5 0   Download

Lead-free barium titanate based Ba1-xSrxTiO3 thin films (x = 0 ÷ 0.45) have been deposited onto Pt/Ti/SiO2/Si(100) substrate via sol–gel technique. The films were crystallized at temperature of 650 °C for 30 min in the air. The experimental data displayed that microstructure, dielectric and ferroelectric properties of the films were strongly influenced by the Sr concentration.

8p vimitsuki 30-03-2025 3 0   Download

The formation and development of large-scale structures are primary research subjects in the study of turbulent mixing layers. Visualizing these structures based on published experimental data enhances the understanding of complex flow behaviors, which is the main objective of this article. The authors employed a two-point statistical correlation method to evaluate the size of large vortex structures along the interaction region.

15p viyuhi 26-03-2025 1 0   Download

This research aims to explore the drivers of sustainable entrepreneurship (SE) education for university lecturers and their hierarchy of prioritization. An Analytic Hierarchy Process (AHP) method was applied to analyze data collected from nine entrepreneurship-education experts based in eight universities in Vietnam

11p viyuhi 26-03-2025 4 1   Download

This research presents an exploratory investigation of sales agents of international insurance firms in Hanoi, aiming to understand the connection between the Uncertainty Avoidance (UA), as discussed by Hofstede (2024), and the digital divide identified by Jan van Dijk (2020). The survey using Google Form was administered to 246 Vietnamese sales agents to collect data for SPSS analysis. The AMOS path diagram was then employed to test the hypotheses based on the conceptual model. The findings indicate that Uncertainty Avoidance negatively impacts the digital divide.

12p tuongmotranh 18-03-2025 8 1   Download

This article presents the frequency and trends of meteorological drought in Thai Binh province for the period 1991-2021 and forecasts drought trends for the period 2025-2065 based on climate change scenarios. The PED drought index is calculated using the corresponding daily temperature and rainfall data for each of these periods.

11p viaburame 14-03-2025 2 1   Download

This paper presents optimization results of the Al6061 surface roughness in turning ultra-precision based on the central composite design method (CCD) and the grey wolf optimization algorithm (GWO). The experimental matrix is built with three independent variables including spindle speed, feed rate and depth of cut. With the experimental data, the roughness regression model is established.

7p viaburame 14-03-2025 5 1   Download

This study seeks to comprehend the influencing factors on the economic growth of the pivotal economic region in the Southwest. The authors conducted research based on the dataset from four provinces and cities in the region during the period 2005-2022, employing panel data estimation methods such as OLS pooled regression, fixed effects (FEM), and random effects (REM).

7p viengfa 28-10-2024 1 1   Download