
Based Learning
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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
1
1
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This research proposes a new approach that leverages low-cost digital cameras and deep learning technology for counting and extracting rice grain traits. Our study introduces a preprocessing step to separate rice grain regions from the input image background using color space conversion.
8p
viling
11-10-2024
2
1
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This paper proposes an intelligent plastic waste detection and classification system based on the Deep Learning model and Delta robot. This system includes a Delta robot, a camera, a conveyor, a control cabinet, and a personal computer.
10p
viinuzuka
28-02-2025
3
1
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Phương pháp CBL với thuật ngữ đầy đủ là “Case Based Learning” - Học tập dựa trên tình huống. Từ “Case” có nghĩa là một bản tường thuật về một tình huống bắt nguồn từ thực tế hoặc sát với thực tế nhất. Bài viết trình bày khảo sát sự hài lòng và các ý kiến của sinh viên về việc chuyển đổi dạy-học theo phương pháp học tập dựa trên tình huống.
7p
viinuzuka
27-02-2025
5
1
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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
2
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
2
2
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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
2
2
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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
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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
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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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Environmental protection has become a global concern, making environmental protection education vital at the primary school level. This education aims to comprehensively develop students' competencies and qualities as outlined in the 2018 General Education Curriculum.
12p
tuetuebinhan000
23-01-2025
2
2
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Thus teaching Science based on students' VARK learning styles plays an important role in enhancing the quality of teaching and learning, helping students develop comprehensively. Therefore, within the framework of this paper, the research focuses on proposing a teaching process based on the learning styles of primary school students in teaching Science, intending to contribute to the development of competencies, particularly natural science competencies.
10p
tuetuebinhan000
23-01-2025
2
1
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This study investigates the application of task-based language (TBL) teaching and learning to teach grammar to 8th graders at Phuc Dien Secondary School. This study was conducted to determine how teachers at Phuc Dien Secondary School utilized TBL in their classes. It also tries to discover the attitudes of students towards applying TBL in teaching grammar and the effectiveness of using TBL to teach grammar compared with traditional methods.
10p
tuetuebinhan000
23-01-2025
2
2
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This research paper focuses on the critical role of demand forecasting in FMCG, emphasizing the need for LSTM-based deep learning models to deal with demand uncertainty and improve predictive outcomes. Through this exploration, we aim to illuminate the link between demand forecasting and advanced deep learning, enabling FMCG companies to thrive in a highly dynamic business landscape.
8p
vifilm
11-10-2024
8
1
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The Credit-Module System offers numerous benefits for universities worldwide based on the convenience of the educational program. It allows students to create their curriculum individually and to be the center of studying activities. Learning and teaching with the credit-module system stimulate the effective work and comprehensive capacities of teachers and students and enhance students’ independent learning in the educational process.
7p
vinara
11-01-2025
1
1
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The Credit-Module System (CMS) has been applied in various countries in order to increase students’ independence and all-round competence. Based on CMS, students can take courses of their choice, learn at their own pace, and take additional courses. Students are the center of this educational system. Thus, undergraduate students’ attitudes and practices towards this system are critical in determining their academic achievement and quality of education.
7p
vinara
11-01-2025
2
1
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Phương pháp học tập dựa trên trường hợp (CBL) là một giải pháp linh hoạt, thúc đẩy việc áp dụng kiến thức vào thực tế và phát triển kỹ năng thực hành, đặc biệt hữu ích trong khối ngành khoa học sức khỏe. Bài viết cung cấp một cái nhìn tổng quan về phương pháp giảng dạy CBL và hiệu quả mà nó mang lại.
14p
viharuno
11-01-2025
5
1
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Integrating virtual reality (VR) into medical education can revolutionize teaching and learning clinical reasoning, yet it remains relatively limited in Vietnam. This study represents the first effort to develop and evaluate VR-based clinical cases for clinical reasoning training at Hue University of Medicine and Pharmacy.
9p
viharuno
03-01-2025
6
1
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This study aimed to evaluate the effectiveness and applicability of UBL in the post-operative care of gastrointestinal cancer surgery for patients’ family caregivers at Department of Surgery 1, Da Nang Oncology Hospital from April 2020 to February 2022.
7p
viharuno
03-01-2025
3
2
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Bài viết tập trung vào việc đánh giá và so sánh hiệu quả của các mô hình học máy dựa trên cây (Tree-based machine learning models) trong việc dự báo gian lận thẻ tín dụng. Các mô hình được xét gồm Decision Tree, Random Forest, Gradient Boosting Machines (GBM) và Extreme Gradient Boosting (XGBoost).
17p
gaupanda068
02-01-2025
18
5
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