Based Learning

Language abilities that complement one another include speaking and listening. This study used the team games-based language learning (TG-BLL) paradigm to assist students in developing their speaking and listening skills. English professionals verified the quality of the learning materials used in the design of this model, which included exercises and relevant learning resources.

9p vijiraiya 19-05-2025 1 1   Download

Lesson "Machine Vision" Chapter 6 - Image Segmentation, compiled including the following main contents: Fundamentals; Point, Line, and Edge Detection; Thresholding; Image Segmentation Using Deep Learning.

83p phongtrongkim0906 16-05-2025 1 1   Download

This review paper provides an overview of Project-Based Learning (PBL) in the context of higher education. It presents the theoretical foundations and development of PBL from its origins to its contemporary applications. Through a historical review of relevant theories, the paper examines the underlying theoretical foundations that have influenced PBL, such as constructivism and experiential learning theories.

15p vijiraiya 19-05-2025 1 1   Download

This study is an additional endeavor to re-emphasize the impact of the systemic functional linguistic genre-based approach (SFL GBA) on teaching English argumentative genres to the third-year English majors, batch 11, at Dong Nai University’s faculty of foreign languages, both in terms of their improved written performances and positive perceptions towards the teaching-learning cycle (TLC).

16p vijiraiya 19-05-2025 1 1   Download

The problem of reducing traffic congestion on highways is one of the conundrums that the transport industry as well as the government would like to solve. In this article, we apply the Double Deep Q-Network (DDQN) algorithm to a multi-agent model of traffic congestion and compare it with two other algorithms.

8p vimitsuki 06-05-2025 2 1   Download

Grammar acquisition remains a challenge for many EFL learners, necessitating innovative approaches to enhance learning effectiveness. This study investigates the impact of using the Nearpod platform on improving high school students' grammatical competence. A quasi-experimental design with sampling was selected, including 40 students of class 10A7 at Ngo Quyen High School.

8p visarada 28-04-2025 1 1   Download

This study focuses on developing a machine learning model through the process of analyzing. comparing, and evaluating the performance of five models: AdaBoost, Decision Tree, RandomForest, ExtraTree, and BernoulliNB. All models are implemented using the "Predict Student Dropout Dataset." Based on the results obtained after processing the data, the study will conduct an analysis based on two main criteria: evaluation by average percentage, standard deviation, and final outcomes, as well as evaluation using a time-series model of age (Balanced Accuracy Progression).

16p visarada 28-04-2025 1 1   Download

This research proposes a blockchain-based knowledge system for EMR management, utilizing the Hyperledger Fabric framework and machine learning (ML) algorithms. By combining the immutable and decentralized nature of blockchain with the predictive capabilities of ML, this system aims to support medical diagnostics and decision-making, with a specific focus on stroke prediction.

9p visarada 28-04-2025 1 1   Download

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   Download

In this study, we explore the potential of graph neural networks (GNNs), in combination with transfer learning, for the prediction of molecular solubility, a crucial property in drug discovery and materials science. Our approach begins with the development of a GNN-based model to predict the dipole moment of molecules.

8p viling 11-10-2024 1 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

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   Download

This study explored community members’ perceptions of service-learning (SL) activities of pre-service primary school teachers (PSTs) of a university in Vietnam. More specifically, the study aimed at investigating how community members (CMs) perceive the impacts of SL activities organized at primary school settings on primary school students and the professional development of PSTs.

15p viling 11-10-2024 3 2   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

The process of neural stem cell (NSC) differentiation into neurons is crucial for the development of potential cell-centered treatments for central nervous system disorders. However, predicting, identifying, and anticipating this differentiation is complex. In this study, we propose the implementation of a convolutional neural network model for the predictable recognition of NSC fate, utilizing single-cell brightfield images.

7p viengfa 28-10-2024 2 2   Download

In this paper, we propose an effective AMC using deep learning (DL) for flexible and adaptive OFDM-based optical networks. The proposed DL-based AMC is able to classify four typical modulation schemes such as binary phase-shift keying (BPSK), quadrature PSK (QPSK), 8-PSK, and 16- quadrature amplitude modulation (QAM) in dynamic network conditions.

6p viengfa 28-10-2024 3 2   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

This study proposes to test a combination model between CNN network and XGBoost algorithm for weather image classification problem. The proposed model uses deep learning network, namely CNN for feature extraction, then feeds the features into the XGBoost classifier to recognize the images.

6p viengfa 28-10-2024 1 1   Download

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   Download