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English Language Supporters at AM English Center play a vital role in enhancing the learning experience for students. They work closely with both teachers and students, providing additional support to ensure that students have a smooth and effective learning journey. This report outlines the responsibilities and contributions of English language supporters at the Ho Chi Minh branch.

38p batcuop00 11-02-2025 3 2   Download

This research examines the self-learning capabilities of students at Thu Duc College of Technology, specifically those majoring in Finance and Accounting, in the context of the Industrial Revolution 4.0. This study aimed to provide recommendations for improving the quality of student education and training.

18p viyamanaka 06-02-2025 1 1   Download

In this paper, we propose a novel facial wrinkle segmentation method based on the Unet++ model, enhanced with dice and focal loss functions. Our approach begins with the construction of an enriched wrinkle dataset sourced from the Flickr-Faces-HQ dataset, ensuring diversity in wrinkle types and complexities.

7p viyamanaka 06-02-2025 1 1   Download

This paper presents a lightweight deep learning-based product object classification scheme designed for deployment on edge servers. Leveraging the ImageNet Large Scale Visual Recognition Challenge 2012 (ILSVRC2012) dataset, six classes relevant to product objects are selected for model training and evaluation.

7p viyamanaka 06-02-2025 1 1   Download

In the context of advancing technology and increasing demand for efficient management, the application of an automated system capable of counting and tracking objects has become indispensable for improving the management process.

7p viyamanaka 06-02-2025 1 1   Download

This paper comprehensively explores and compares methods for multi-person action recognition, with a focus on integrating YOLOv7-Pose a tool known for its rapid pose estimation capabilities--with deep learning architectures. Specifically, it examines the use of Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU) and Spatial TemporalGraph Convolution Network (ST-GCN) to achieve precise action classification.

5p viyamanaka 06-02-2025 1 1   Download

Severe air pollution in Vietnam's tourism areas has become a significant economic issue in recent years. While many studies have found a link between population exposure to air pollution and poor health outcomes, short-term exposure to air pollutants in high-pollution zones can result in acute health consequences; thus, poor air quality jeopardizes visitors' health and well-being and threatens the tourism industry's sustainability.

14p viyamanaka 06-02-2025 2 2   Download

Currently, the field of science and technology, particularly Artificial Intelligence (AI), is undergoing significant progress. AI involves the computer-based simulation of human cognitive functions. Within the realm of AI, machine learning, a specialized branch, utilizes mathematical algorithms to enhance computational capabilities.

10p viyamanaka 06-02-2025 2 2   Download

The study provides empirical insights into the capabilities and limitations of current Blockchain-based voting systems, emphasizing the critical role of machine learning in enhancing system analysis.

9p viyamanaka 06-02-2025 2 2   Download

The objective of this study is to analyze the impact of servant leadership style on organizational innovation of tourism enterprises in Ho Chi Minh City with the mediating role of organizational learning.

7p viyamanaka 06-02-2025 5 2   Download

This article reports on research into the problems that non-English major freshmen at Quy Nhon University face when they lose interest in learning English speaking skills. The subjects were 200 first-year non-English majors belonging to non-English majors such as Economics, Accounting, Natural Resources and Environmental Management, Food Technology, and Construction Engineering etc. at Quy Nhon University.

17p tuetuebinhan000 23-01-2025 2 1   Download

This paper presents a novel approach to enhancing the accuracy of precipitation estimation in Central Vietnam using the Extreme Gradient Boosting (XGBoost) machine learning model. The proposed method integrates multi-source data, combining satellite imagery from Himawari-8, atmospheric reanalysis from ERA-5, and digital elevation models from ASTER DEM to train the model.

9p tuetuebinhan000 23-01-2025 1 1   Download

This paper presents initial experiments on using deep learning to identify pulmonary diseases through X-ray image recognition. In experiments, there were three pulmonary diseases: aortic enlargement, lung opacity, and another lesion.

9p tuetuebinhan000 23-01-2025 2 1   Download

Blur image classification is essential for computer vision applications, including image quality assessment, surveillance and medical imaging systems. This study proposes a method to classify different types of blur: sharp, Gaussian blur, motion blur, and defocus blur, using the DenseNet121 architecture.

9p tuetuebinhan000 23-01-2025 3 0   Download

In the study, pre-and post-tests were used to review students' vocabulary perceptions, and surveys using questionnaires were conducted to explore the effects of Quizizz on English vocabulary learning. On the basis of these results, it was concluded that Quizizz had promoted the activity of learning English vocabulary, maintained the motivation for learning and increased learning success.

10p tuetuebinhan000 23-01-2025 2 1   Download

This study aims to explore the difficulties and propose effective strategies for teaching English speaking skills to the first-year Students with Low English Proficiency (SLEP). Two questionnaires were designed to investigate the learning and teaching of English-speaking skills among 60 randomly selected students with weak English proficiency from different classes at Hanoi University of Industry (HaUI), along with 6 teachers who participated in the teaching.

7p tuetuebinhan000 23-01-2025 1 1   Download

This study was conducted to investigate the role of mass media in enhancing self-studyof English listening comprehension and suggest ways to improve listening comprehension. The research utilizes quantitative methods to analyze the results, focusing on promoting collaboration and fostering learners’ autonomy through theutilization ofmassmediaas language learning tools.

7p tuetuebinhan000 23-01-2025 1 1   Download

Computer Assisted Language Learning (CALL) is not a trend; it has become practice in various contexts of language teaching and learning. However, CALL practices these days do not isolate the use of computers from the internet and various educational software and applications. This paper is to explore student perceptions on Smartclass software (SCS) design and its impacts on learning in interpreting classes of English and Korean major students at a university in Vietnam.

9p tuetuebinhan000 23-01-2025 1 1   Download

Assessment can be considered as a key component for the improvement of the quality of language teaching and learning process. This study aims to investigate how teachers practice formative assessments (FA) in English for occupational purposes (EOP) classes and how they perceive it in promotingstudents’ learning, as well as challenges they faced. Data were collected through survey questionaires with sixty-one teachers and interviews with five teachers selected randomly.

7p tuetuebinhan000 23-01-2025 1 1   Download

Learner autonomy has been one of the central aims of education because of its significant role in lifelong learning. With the advancement of technology and the abundance of learning resources, students have many opportunities for learner autonomy development outside the classroom.

11p tuetuebinhan000 23-01-2025 2 1   Download