
Learning method
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In this paper, we propose a wavelet type-2 fuzzy brain imitated controller (WT2FBIC) for nonlinear robotic systems. The suggested method combines a wavelet type-2 fuzzy system (WT2FS) and a brain imitated controller (BIC) to improve learning efficiency.
11p
viling
11-10-2024
1
1
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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
4
1
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This research aimed to investigate teachers’ perceptions and practices of projectbased learning (PBL) in teaching speaking skill at some high schools in a Central Vietnam province. The mixed methods research was adopted with the population of twenty-five teachers of English as a foreign language (EFL).
16p
viling
11-10-2024
1
0
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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
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This paper investigates the impact of word embedding techniques on enhancing SMS spam detection models. Traditional statistical methods (BoW, TF-IDF) are compared with advanced techniques (Word2Vec, fastText, GloVe, PhoBERT) using a proprietary dataset.
5p
viengfa
28-10-2024
5
2
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In this article, we establish a Digital Radio over Fiber (DRoF) information system with two wireless channels utilizing two advanced phase modulation techniques, namely Differential Phase Shift Keying (DPSK), for the CRAN connection and investigate parameters related to nonlinearity such as refractive index n2.
6p
viengfa
28-10-2024
4
2
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Despite certain advancements achieving high accuracy, current methods still require substantial improvements to be applicable in practical scenarios. Diverging from text detection in images/videos, this paper addresses the issue of text detection within license plates by amalgamating multiple frames of distinct perspectives.
10p
viengfa
28-10-2024
6
2
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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
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The study highlights the importance of beliefs in EFL teaching and learning and provides meaningful contributions to undergraduate preservice teachers, teachers and teacher educators to enhance the quality of teaching EFL to young learners in Vietnam in particular, and in other EFL contexts in general.
10p
viengfa
28-10-2024
1
0
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This article conducts an exhaustive investigation into the utilization of machine learning (ML) methods for forecasting the maximum load capacity (MLC) of circular reinforced concrete columns (CRCC) using Fiber-Reinforced Polymer (FRP). Extreme Gradient Boosting (XGB) algorithm is combined with novel metaheuristic algorithms, namely Sailfish Optimizer and Aquila Optimizer, to fine-tune its hyperparameters.
18p
viengfa
28-10-2024
2
2
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The effects of project-based learning on non-English-major students’ crucial soft skills development
This study seeks to explore the potential of the Project-based learning method in enhancing three important soft skills, including critical thinking, social-emotional skill, and self-regulation, which are believed to be beneficial for students’ sustainable development, among non-English-major students in a university in Ho Chi Minh city, Vietnam.
7p
vipanly
28-10-2024
1
0
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This research article explores the potential of active learning pedagogies to enhance student engagement, knowledge retention, and essential skill development in higher education. These learner-centered approaches, such as experiential, project-based, and inquiry-based learning, contrast with traditional lecture-based methods that prioritize passive information transfer.
7p
vipanly
28-10-2024
2
1
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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
4
1
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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
4
2
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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
7
2
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Trong bài viết, dữ liệu được thu thập gồm 306 khách hàng đã từng sử dụng dịch vụ đặt xe công nghệ. Bộ dữ liệu này được phân tích thông qua các phương pháp phân cụm (clustering methods) trong thống kê và học máy không giám sát (unsupervised learning). Các thuật toán đó còn được gọi là K-means và Elbow.
11p
viintuit
06-09-2023
13
5
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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
2
1
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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
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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
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Boredom can pose many negative impacts on students' academic performance as well as their quality of life. This study investigated the prevalence of academic boredom among English majors at Nong Lam University and its contributing factors using a quantitative research method.
10p
tuetuebinhan000
23-01-2025
4
1
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