Data model

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 5 1   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 4 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

Accurate daily load forecasting is critical for effective energy management planning. In this study, the article proposes a new method for daily load forecasting that takes advantage of load data and weather data over time in Tien Giang.

10p 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

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 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

The study aims to identify factors affecting financial sustainability in community tourism development in the Northwest region. Survey data were collected from 135 tourism business households and individuals with direct and indirect income from tourism activities in the community tourism village in the Northwest region.

12p viaburame 14-03-2025 1 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

The study attempts to explore economic, financial, and institutional developmental factors that contribute to the growth of the size of corporate bond markets by using the data set from ten Asian economies (China; Hong Kong, Indonesia; Japan; Korea; Malaysia; the Philippines; Singapore; Thailand; and Vietnam). The empirical findings by generalized least squares model show that the level of economic development as shown by GDP per capita is one of the most important factors in the development of corporate bond markets.

9p tuongmotranh 18-03-2025 21 1   Download

The paper builds a computational model of a multisubcarrier free space optic, a variant of the Subcarrier Intensity Modulation Free Space Optic (SIM-FSO), establishes algorithmic flowcharts, writes a computational program to investigate the system performance under various modulation methods, air turbulence levels and different numbers of subcarriers and data rates.

6p viaburame 14-03-2025 6 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

One-loop contributions to the decay process \(H \to Z*\gamma \to {v_e}{v_e} \gamma \) in standard model are performed in the paper "One-loop contributions to in standard model \(H \to Z*\gamma \to {v_e}{v_e} \gamma \)". The detailed computations are carried out in unitary gauge. In physical results, we present numerical results for partial decay width and its distribution. We find that the partial decay width is given to 0.466 KeV. This result is in the upper bound of the current experimental data at the Large Hadron Collider.

9p xuanphongdacy09 29-09-2024 4 2   Download

The basic characteristics of sensor were investigated, and these experimental data were used for a machine learning. The results of the model validation proved to be a reliable way between the experiment and prediction values.

10p viengfa 28-10-2024 3 2   Download

The study investigated the relationship between service quality, brand image, satisfaction, and consumers’ continuous purchase intention. We collected research data from 258 consumers who bought goods at supermarkets in Tra Vinh City.

12p vifilm 11-10-2024 3 1   Download

Nghiên cứu áp dụng mô hình hồi quy dữ liệu bảng động (Dynamic panel data model regression) để đánh giá tác động dài hạn của quản trị công đến tăng trưởng kinh tế bằng cách sử dụng dữ liệu về bộ chỉ số quản trị của Ngân hàng thế giới cho 23 quốc gia thu nhập trung bình tại khu vực châu Á trong khoảng thời gian 12 năm (từ năm 2008 đến năm 2020).

16p viengfa 28-10-2024 2 1   Download

This study measured production efficiency considering environmental factors (environmental efficiency) to assess the sustainability of pig farms in the district. This study used the data envelopment analysis (DEA) model with undesirable output (COD emissions) to measure environmental efficiency in pig production.

12p vibecca 01-10-2024 5 2   Download

This study explored the factors affecting members’ satisfaction with the quality of support activities of cooperatives using data collected from 301 members of horticultural cooperatives in Son La province. The study applied the SEVERQUAL concept and cooperative principles to develop the research model.

14p vibecca 01-10-2024 2 1   Download

To achieve this objective, a survey was conducted among 1020 respondents with varying genders, and educational levels in Ho Chi Minh City. The collected data was analyzed sing SPSS and AMOS software, enabling the development of a structural model.

13p viinuzuka 28-02-2025 5 1   Download