Data model

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 0 0   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.

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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.

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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.

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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.

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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.

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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.

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This research explores how customer engagement with the F&B brand’s dedication to social responsibility, sustainable business practices, and corporate governance influences impulsive buying. An online survey was requested, and a total of 322 participants were chosen for data analysis. To conduct statistical analysis, partial least squares structural equation modeling (PLS-SEM) was used with the SmartPLS3 program.

6p vifilm 11-10-2024 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.

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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.

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The prediction of ground settlement under tunnel excavation is still challenge. Almost engineer uses Mohr-Coulomb model in practice due to the conventional geotechnical investigation data. This paper describes the study of tunnel lining behaviors and ground surface settlement under tunneling process with a typical case study of twin tunnels excavation in Ho Chi Minh city, Vietnam.

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This study shows the results of landslide susceptibility mapping for the southwest region of Quang Nam province using the Weights of Evidence (WoE) model. The input data consists of a landslide inventory and ten influencing factors, i.e., geology, distance to fault, elevation, relief amplitude, slope, aspect, rainfall, soil type, land use, and distance to road.

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This study applies the GRU (Gated Recurrent Unit) model when selecting different values of batch-size, namely 16, 32, and 64, with varying epochs of 20, 50, 100, 150, and 200. The input data comprises observations collected by two GNSS CORS stations from the VNGEONET network, namely HYEN and CTHO, spanning from August 10, 2019, to March 18, 2022.

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This study aims to propose a concrete process of developing a KPIs system in urban planning by the logic model, and applying it for the case of the Hanoi master plan. In more detail, the logic model will be utilized to understand the plan’s components and their linkages, and then select KPIs based on the model’s outputs and outcomes, and based on Hanoi urban data availability and quality.

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This study aimed to identify the factors affecting farmers’ adoption of sustainable land management (SLM) practices to combat land degradation in Vietnam. Based on the survey data from 826 farmers in three representative regions, the study showed that the SLM model and SLM adoption rate were quite varied due to differences of natural and socio-economic conditions.

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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.

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