Data in Use

This study provides readers with an overview of Flipgrid, the Flipgrid implementation process, and the effectiveness of applying Flipgrid to develop speaking skills for Thai Nguyen gifted high school students. In this action research, the pre-test, post-test, and questionnaire were employed to collect data for analysis.

9p vipanly 28-10-2024 2 2   Download

In this study, the researcher focuses on exploring the impact of the European Union–Vietnam Free Trade Agreement and the European Green Deal on Vietnamese exports. This article used qualitative methods, including collecting and analyzing secondary data. The objective is to understand the requirements and standards set by the European market and the advantages that the free trade agreement impacts on the quality and competitiveness of Vietnamese export products.

16p viengfa 28-10-2024 0 0   Download

This study aims to report on an investigation into Dong Nai University EFL students' beliefs and practices of autonomous learning. The study was carried out for 6 weeks in the first semester of school year 2023-2024 at Dong Nai University, Vietnam. The research employed a quantitative method by using a questionnaire to gather data from 80 English-majored students.

17p viengfa 28-10-2024 0 0   Download

The study aims to compare the use of strategic management accounting (SMA) by organizational structure (level of autonomy, year of establishment, and student size) of Vietnamese public universities. Survey data was collected from 142 accountants of Vietnamese public higher education institutions through questionnaires and regression analysis using SPSS 22 software.

7p viengfa 28-10-2024 0 0   Download

This study investigates the use of online educational game applications in teaching English grammar at Binh Tri 2 Primary School. The participants of the study were 64 fifth grade students and six teachers. A mixed-method design was used in this study to collect quantitative data via questionnaire for students and qualitative data via semistructured interview for English teachers.

7p viengfa 28-10-2024 3 0   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 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 1 1   Download

The main objective of this study is to predict accurately the loaddeflection of composite concrete bridges using two popular machine learning (ML) models namely Random Tree (RT) and Artificial Neural Network (ANN). Data from 83 track loading tests conducted on various bridges in Vietnam were collected and analyzed.

9p viengfa 28-10-2024 2 1   Download

In recent years, landslides are taking place very seriously, and tend to increase in both scope and scale, threatening people's lives and properties. Therefore, timely detection of landslide areas is extremely important to minimize damage. In this paper, an improved algorithm for partitioning data with reliability problems using multiple fuzzifiers named as TSSFC is introduced.

9p viengfa 28-10-2024 1 1   Download

This study aimed at investigating English-major students’ experiences with the use of digital resources for their informal language learning (ILL) at a university in Vietnam. The data collection instruments included questionnaires, which were delivered online to 91 participants, and semi-structured interviews carried out with 12 of these participants.

18p viling 11-10-2024 1 0   Download

In this paper, we used Convolution neural network (CNN) that exploits the visual properties of the input data to obtain features from network traffic, thereby achieving good intrusion detection performance.

11p viling 11-10-2024 0 0   Download

The paper will present the design of techniques for building an application for testing and evaluating knowledge in the Data Structures and Algorithms course. This application will be a useful tool for both instructors and students, thereby enhancing the quality of teaching and learning in Information Technology-related subjects.

10p viling 11-10-2024 1 0   Download

In this study, Partial Least Square – Structural Equation Modeling (PLS-SEM) was used to analyze data from the questionnaire survey of 363 customers who are familiar with live streaming platforms in Vietnam. By using SmartPLS for data empirical evaluation and hypotheses testing, research shows that the social presence of a live streaming platform and scarcity have a positive impact on consumer’s flow states, hence inducing consumers’ impulsive buying behaviors.

20p viling 11-10-2024 2 0   Download

In this study, we propose a novel approach using the oscillation characteristics of the RMS current as the input to machine learning models, combined with the confident learning technique. Using the oscillation characteristics obtained by taking a discrete Fourier transform (DFT) of the RMS current as model input, we aim to reduce the computational requirements of the machine learning models.

12p viling 11-10-2024 1 0   Download

This study aims to explore the opinions of HIU students about the Google Form tool in reviewing and testing English Grammar knowledge. The research team used qualitative and quantitative methods to collect data from 94 first-year students of the English Language Department of Hong Bang International University

7p vifilm 11-10-2024 6 0   Download

Traffic control decisions for incident congestion management on expressways are often made in the face of uncertainty because it entails using many forms of both current and predicted traffic data and incident information to arrive at control decisions under critical-time pressure.

16p vibecca 01-10-2024 0 0   Download

The results of using machine learning via genetic programming (GP) to automatically generate novel effective length factor formula in accordance with AISC standard are presented in this article. The data points obtained from applying the numerical method equation solving for the transcendental equation for the effective length of the braced frame were fed into the machine learning algorithm.

5p vibecca 01-10-2024 3 1   Download

In this paper, a Convolutional Neural Network (CNN) method is employed to classify the crack/noncrack aerial images captured on the surface of concrete structures. The CNN model was trained and validated using the available experimental data of 4000 previously published images.

4p vibecca 01-10-2024 1 1   Download

In this paper, we investigated the factors influencing the adoption of electric motorcycles in two major cities, Ho Chi Minh City and Da Nang. A paper-based questionnaire was proposed. Through data analysis based on established measurement standards, we identified positive and negative factors affecting the use of electric motorcycles.

15p vibecca 01-10-2024 1 1   Download

The article is divided into five parts: 1) Introduction and overview of the research issue; 2) Literature review; 3) Methodology and data collection; 4) The main results, including the mode choice model and the impact of improving the quality of public transport, parking fees, and Park and Ride on public transport share; 5) Conclusion and recommendations.

13p vibecca 01-10-2024 1 1   Download