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 2 1   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 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

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 5 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 4 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

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

This study aims to build a classifier for credit scoring based on deep learning. We use a credit scoring dataset publicly available on the UC Irvine Machine Learning Repository, a source of machine learning datasets commonly used by researchers.

7p viling 11-10-2024 3 1   Download

This paper will present an IoT-based system to monitor critical parameters of vehicles, including temperature, humidity, fuel consumption, and positioning. The proposed system integrates a network of sensors within the vehicle to capture real-time data, which is transmitted to a centralized control unit for analysis and visualization.

9p viinuzuka 28-02-2025 5 1   Download

This paper also discusses practical applications of object detection in satellite images, including environmental monitoring, resource management, and disaster response. Finally, the paper suggests potential future research directions, such as developing more efficient models, handling small objects, and leveraging diverse data sources.

9p vihyuga 20-02-2025 6 1   Download

This article presents a semisupervised fuzzy c-means clustering algorithm based on the collaborative clustering model (CSFCM) on distributed systems applied to the problem of land cover classification from remote sensing data.

14p viyamanaka 06-02-2025 2 1   Download

This paper employs statistical methods to analyze quantitative data collected based on the survey framework of the High Performance Manufacturing project (HPM) during the period from 2014-2015 in Vietnam and worldwide.

13p tamynhan6 14-09-2020 24 2   Download

This study investigates the impact of Green Human Resource Management (GHRM) on Job Performance (JP), with a focus on the mediating roles of perceived green organizational support. Drawing on data collected from employees in Vietnamese enterprises, the research utilizes PLS-SEM to examine the relationships between GHRM and job performance outcomes.

9p viyamanaka 06-02-2025 3 1   Download

The paper presents a new method based on an Equivalent Severity Score (ESS) to evaluate road traffic safety in an area using a geographic information system (GIS) tool, namely QGIS. The road traffic accident (RTA) data from 2021 to 2023 in Tuyen Quang province, Vietnam, was used to analyze and test this method.

10p viyamanaka 06-02-2025 5 2   Download