
Artificial intelligence
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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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In this paper, author uses 8-bit fixed-point quantization to greatly reduce the memory space requirement of the feature maps and weights and the accuracy of LeNet-5 with MNIST dataset is only slightly reduced. In the hardware accelerator, author proposes a highly flexible CNN accelerator with reconfigurable layers.
14p
viling
11-10-2024
3
1
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This paper introduces the application of artificial intelligence to build a security control software system in local military units. This software system uses state-of-the-art convolutional neural networks (CNN SOTA) for facial recognition by testing two of the best facial recognition models currently available: the FaceNet model and the VGGFace model.
8p
vifilm
11-10-2024
6
1
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In this study, we propose the application of CycleGAN to generate T2 pulse sequence MRI images of the human brain from T2 Flair pulse sequence images of the same type and vice versa, thereby increasing the number of MRI images of various types.
8p
viengfa
28-10-2024
4
2
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In this paper, we build a quadcopter for target tracking by integrating a embedded computer Raspberry Pi (RPI) with a Pixhawk flight controller. This article also proposes a lightweight Tracking algorithm that can be deployed on Raspberry Pi, this algorithm harnesses advanced image processing and computing capabilities to significantly enhance target tracking performance, thereby reducing the need for human intervention control in unmanned flights.
9p
viengfa
28-10-2024
4
3
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Efficient ship detection is essential for inland waterway management. Recent advances in artificial intelligence have prompted research in this field. This study introduces a real-time ship detection model utilizing computer vision and the YOLO object detection framework.
14p
viengfa
28-10-2024
2
2
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This paper presents the development of an Artificial Intelligence (AI) and Machine Learning (ML) model designed to detect cracks on concrete surfaces. The objective is to enhance the automation, precision, and performance of crack detection using the computer vision algorithm.
13p
viengfa
28-10-2024
2
2
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The results of this study would be useful in quickly and accurately predicting CPI to the management agencies, investors, construction contractors to pre-plan the construction investment costs. This will also help in suitably adjusting changing construction cost with time.
11p
viengfa
28-10-2024
2
2
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This paper is aimed to apply hybrid machine learning model namely GA-ANFIS, which is a combination of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Genetic Algorithm (GA), for the prediction of total bearing capability of driven piles.
8p
viengfa
28-10-2024
3
2
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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
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The chosen algorithm for this project is the MLP (Multi-layer Perceptron) classifier, which has seen significant development in recent years and has widespread applications in various Al domains. This is why it has been selected as the foundation for the system in this project. The research topic aims to utilize this algorithm to construct a system that rapidly predicts whether a mushroom is edible or poisonous, facilitating practical applications.
13p
viuzumaki
28-03-2025
5
0
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At present, artificial intelligence (Al) is one of the most rapidly developing fields in science and technology. In the modern context, Al technologies have become a highly researched area globally, leading to breakthrough technologies that enhance efficiency and effectiveness across various sectors, including environmental security.
15p
viuzumaki
28-03-2025
3
0
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Artificial intelligence is gradually emerging as a method for optimizing various tasks, offering cost-saving and highly efficient solutions. Nowadays, Al is used as a general term for diverse tasks performed by computers. Fields like machine learning, deep learning, and data science, among others within this scope, are considered part of Al as long as they exhibit the characteristics of artificial intelligence.
12p
viuzumaki
28-03-2025
2
0
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The research is focused on exploring the applications of Artificial Intelligence algorithms in handling diagnostic wine quality data. The article discusses the successful implementation of the Decision Tree algorithm for this purpose. This drives the main research goal, which revolves around integrating the Decision Tree with flexible sliding window techniques that can continuously adapt and update over time.
12p
viuzumaki
28-03-2025
1
0
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This article explores practical research on the application of SEC in mathematics education both globally and in Vietnam. It examines the perspectives and characteristics of SEC in mathematics education, as well as SEC integrated with AI.
17p
viaburame
14-03-2025
3
1
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This talk explores the interconnected and critical issues of competencies, applications, and assessments in the teaching and learning of school mathematics. We examine the dual roles of competencies as both helpful and questionable, the limits and significance of applications, and the unintended consequences of assessments.
9p
viaburame
14-03-2025
0
0
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This research investigates the effective integration of Python programming and visual aids in teaching mathematics at high schools in the Mekong Delta region. Recognizing the transformational power of technology in education, the study utilizes Python's capabilities to design interactive and engaging visual tools for mathematics instruction.
12p
viaburame
14-03-2025
1
0
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Bài viết tập trung vào nghiên cứu và phân tích việc ứng dụng trí tuệ nhân tạo (Artificial Intelligence - AI) trong can thiệp cho trẻ rối loạn phổ tự kỉ (RLPTK). Các nội dung khoa học chính bao gồm sử dụng AI để phát hiện sớm các dấu hiệu RLPTK, phân tích dữ liệu và nhận diện cảm xúc; cá nhân hóa học tập và can thiệp dựa trên nhu cầu riêng của từng trẻ; sử dụng robot giáo dục như NAO, Pepper và KASPAR để phát triển kĩ năng giao tiếp, kĩ năng xã hội, cảm xúc và giác quan cho trẻ RLPTK.
9p
viaburame
14-03-2025
2
1
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The paper have answered the research questions: What is the relationship between governance and quality assurance (QA) in highe education institution (HEI)? What good practices are there to concretize the roles and functions of the University Council (UC) in the work of QA? We agreed that in pricipal, UC is responsible for university governance activities in line with the HEI's development strategy with 4 important areas of work: Determining vision, mission, cultural values; Building development strategies and policies including QA policies; Mobilizing resources inside and outside the insti...
10p
tuongmotranh
18-03-2025
5
1
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Trong nghiên cứu này, nhóm nghiên cứu sử dụng mô hình trí tuệ nhân tạo (AI - Artificial Intelligence) với thuật toán học máy (Machine Learning) Random Forest (RF) thực hiện phân loại, giám sát biến động các lớp phủ bề mặt tại khu vực Hà Nội giai đoạn 2013-2023. Các dữ liệu ảnh vệ tinh và các kết quả phân tích được thực hiện trên nền tảng điện toán đám mây GEE và sử dụng ngôn ngữ lập trình Javascript.
11p
viambani
18-06-2024
8
3
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