
Data systems
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Bài thuyết trình Ứng dụng khai thác dữ liệu (Data Mining and Application): Anime Recommendation-System giới thiệu hệ thống đề xuất anime dựa trên các kỹ thuật phân tích dữ liệu người dùng. Bài trình bày tập trung vào tổng quan dữ liệu, các phương pháp đề xuất và đánh giá hiệu quả của hệ thống. Đây là một ứng dụng thực tiễn trong lĩnh vực giải trí và cá nhân hóa trải nghiệm.
50p
hoatrongguong03
15-05-2025
2
0
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In this paper, we propose a single-step Deep Neural Network (DNN) for CE, termed Iterative Sequential DNN (ISDNN), inspired by recent developments in data detection algorithms. ISDNN is a DNN based on the projected gradient descent algorithm for CE problems, with the iterative iterations transforming into a DNN using the deep unfolding method.
7p
vijiraiya
19-05-2025
1
1
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This study conducted a survey, collected and analyzed data to identify the water pollution problem and the situation of the operation and management of the Bac Hung Hai irrigation system. From literature review and water polution management practices from other countries with similar conditions, IoT solution and proposed main system for implementing real-time observation and controlling of water quality are recommended to improve the water pollution problem and water management in BHH IS.
7p
vimitsuki
06-05-2025
1
1
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This article presents an overview of Stream Algebra, a research field that has emerged after the birth of Relational Algebra used in Database Management Systems (DBMS). When Stream Data appeared and needed to be processed in real-time, the role of Stream Algebra became evident. Since the rise of Big Data, this field has received attention in recent years, the role of Stream Algebra has been further demonstrated.
7p
visarada
28-04-2025
1
1
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In the design and calculation of stormwater drainage systems, the design rainfall intensity plays a crucial role and is widely used in runoff calculations. Due to the influence of local climatic factors, the selection of probability distributions for rainfall frequency analysis and the methods used to determine parameters for empirical equations result in a variety of equations compared to traditional Rainfall Intensity-Duration-Frequency curves.
12p
visarada
28-04-2025
1
1
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This process aims to optimize healthcare data management, enhance the quality of care, and enable remote health monitoring. The ultimate goal is to establish a smart healthcare system that prioritizes public health and promotes sustainable development. In this context, the development of high-tech and multifunctional healthcare is an inevitable and crucial trend that aligns with the principles of security and efficiency in healthcare.
13p
visarada
28-04-2025
1
1
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This project presents a facial recognition-based time-tracking system that aims to improve the process of monitoring employee attendance. The system utilizes the LBPH (Local Binary Patterns Histograms) algorithm to collect and analyze facial data in real-time, allowing for accurate identification of individuals even in varying lighting conditions and from different angles.
10p
visarada
28-04-2025
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 study develops a decision support system, named Academic Quality Assurance, for supporting the analyzing of data collected from multiple semesters. The system focuses on assisting users in filtering data based on semesters, courses, departments, and programs, and then visualizing the data, providing comparisons.
13p
viling
11-10-2024
4
1
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In this paper, we used Convolution neural network (CNN) that exploits the visual properties of the input data to obtain features from network traffic, thereby achieving good intrusion detection performance.
11p
viling
11-10-2024
3
1
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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
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Paper "Multi-source data analysis for bike sharing systems" propose two types of regression models using multi-source data to predict the hourly bike pick-up demand at cluster level: Similarity Weighted K-Nearest-Neighbor (SWK) based regression and Artificial Neural Network (ANN). SWK-based regression models learn the weights of several meteorological factors and/or taxi usage and use the correlation between consecutive time slots to predict the bike pick-up demand.
6p
tuongtieume
03-04-2025
6
1
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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
6
1
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The paper builds a computational model of a multisubcarrier free space optic, a variant of the Subcarrier Intensity Modulation Free Space Optic (SIM-FSO), establishes algorithmic flowcharts, writes a computational program to investigate the system performance under various modulation methods, air turbulence levels and different numbers of subcarriers and data rates.
6p
viaburame
14-03-2025
6
1
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This study investigated the role of perennial crop systems in enhancing sustainable livelihoods among rural households in Dak Lak province, Vietnam, with a particular focus on coffee and pepper crops. To gather data for this study, structured interviews were conducted with 86 households (90 farms) through a multi-stage sampling approach from January to May 2019.
12p
vibecca
01-10-2024
3
2
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This paper will present an IoT-based system to monitor critical parameters of vehicles, including temperature, humidity, fuel consumption, and positioning. The proposed system integrates a network of sensors within the vehicle to capture real-time data, which is transmitted to a centralized control unit for analysis and visualization.
9p
viinuzuka
28-02-2025
5
1
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This article presents a semisupervised fuzzy c-means clustering algorithm based on the collaborative clustering model (CSFCM) on distributed systems applied to the problem of land cover classification from remote sensing data.
14p
viyamanaka
06-02-2025
2
1
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Discourse is the complex, flexible entity in the system of meaning expression consisting of many levels closely and dialectically related. The syntactic structure principles help the user shape discourse components appropriately to suit the content and purpose of the communication.
15p
viyamanaka
06-02-2025
3
2
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The paper presents a new method based on an Equivalent Severity Score (ESS) to evaluate road traffic safety in an area using a geographic information system (GIS) tool, namely QGIS. The road traffic accident (RTA) data from 2021 to 2023 in Tuyen Quang province, Vietnam, was used to analyze and test this method.
10p
viyamanaka
06-02-2025
5
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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