
To data modeling
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To achieve this objective, a survey was conducted among 1020 respondents with varying genders, and educational levels in Ho Chi Minh City. The collected data was analyzed sing SPSS and AMOS software, enabling the development of a structural model.
13p
viinuzuka
28-02-2025
3
1
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This paper demonstrates that, using multiple data points around each gateway allows for the creation of accurate coverage heat maps by using a proposed LoRaWAN coverage estimation algorithm. This method effectively identifies areas with varying signal strength across Da Nang City, highlighting where additional gateways are needed to improve network reliability.
6p
vihyuga
20-02-2025
7
1
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Recently, machine learning (ML) algorithms have proven to be highly effective tools for predicting structural damage. However, the data used in structural health monitoring often consists primarily of normal operational conditions or slight deviations from the original state, with a scarcity of data representing potentially dangerous conditions.
21p
viyamanaka
06-02-2025
1
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
1
1
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The paper describes a new architecture for 3D visualization service, made to convert 2D CAD data into comprehensive 3D models. It is created with focus on multi-device environments in industrial uses.
8p
viyamanaka
06-02-2025
2
2
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This study will provide evidence to help banks better understand the factors affecting profitability, thereby proposing solutions to improve operational efficiency and ensure sustainable development. To achieve this goal, the study uses a panel data regression model with data from the financial statements of Vietnamese commercial banks listed on the stock exchange from 2015 to 2022.
11p
viyamanaka
06-02-2025
2
2
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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
1
1
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The main aim of this study is to delve into the impact of cyber forensic accounting on the quality of metaverse integrated reporting in metaverse local government. The suggested model was empirically validated using SmartPLS 4.1.0.2 software and structural equation modelling. Statistical data obtained from surveys conducted among accountants working in public sector organizations (PSOs).
10p
tuetuebinhan000
23-01-2025
2
2
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This study aims to understand the effect of blockchain on bank performance of banks under the mediating role of accounting information systems quality. Based on the Resource-based perspective, the proposed research model with 4 hypotheses and data is surveyed from 324 employees working in the nance and accounting departments of Vietnamese commercial banks.
8p
tuetuebinhan000
23-01-2025
6
2
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Thermophysical properties of industrially complex fluids whose composition is always ill-defined are in practice predicted by using thermodynamic models. To ensure the prediction accurately and reliably, a three-step procedure to obtain the properties of these fluids must be validated. The focus of this study is laid on a short review of tools which can be served for each of the three steps.
10p
vibenya
31-12-2024
6
2
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In the present study, cooling of PV module using a paraffin-based phase change material (PCM) in hot climate of Vietnam is investigated. Thermal modelling is first validated against experimental data reported in literature and then transient thermal simulations are carried out for a duration of 24 hours to assess the effect of PCM itself and PCM with internal fins.
6p
vibenya
31-12-2024
5
2
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This paper introduces an analytical model to assess collision probabilities, applicable for evaluating the effectiveness of WSNs using tree routing protocols. It examines collision probabilities across various types of traffic load, including routing and data traffic, highlighting their interconnected influences.
6p
vibenya
31-12-2024
4
2
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Recent MLP-Mixer has a good ability to handle longrange dependencies, however, to have a good performance, one requires huge data and expensive infrastructures for the pre-training process. In this study, we proposed a novel model for nuclei image segmentation namely Axial Convolutional-MLP Mixer, by replacing the token mixer of MLP-Mixer with a new operator, Axial Convolutional Token Mix.
6p
vibenya
31-12-2024
3
2
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Partitioning DFDs: a. The process of analyzing a DFD and deriving a series of manual procedures b. Adding controls to ensure the processes are done property c. The process of analyzing a DFD and deriving a series manual procedures and computer programs d. None of these answers Câu 162: Physical data flow diagram: a. describing processes in greater detail b. show sequencing processes in the order they must be executed c. show how the system operates or how the new system will be implemented d. all of these answers Câu 163: Physical DFDs a. show how the system is or...
29p
itvovantien
23-06-2012
126
20
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Mô tả tổ chức dữ liệu dưới dạng sơ đồ quan hệ thực thể (ERD-Entity Relationship Diagram). Kiểm tra sự hợp lệ của việc thiết kế dữ liệu. Sinh mô hình dữ liệu vật lý (PDM-Physical Data Model). Sinh mô hình hướng đối tượng (OOM- ObjectOriented Model).
40p
hvs179
07-11-2012
934
65
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Dataflow model For complex design: number of gates is very large - need a more effective way to describe circuit Dataflow model: Level of abstraction is higher than gate-level, describe the design using expressions instead of primitive gates Circuit is designed in terms of dataflow between register, how a design processes data rather than instantiation of individual gates RTL (register transfer level): is a combination of dataflow and behavioral modeling
24p
mars_2012
01-04-2013
64
6
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Overview Access Control Matrix model Discretionary Access Control (DAC) Mandatory Access Control (MAC) and an example model Role Based Access Control (RBAC) Access Control in Unix Sep 2009 Information Security by Van K Nguyen Hanoi University of Technology 2 .What is AC Quote from Ross Anderson (text “Security Engineering”) Its function is to control which principals (persons, processes, machines, …) have access to which resources in the system -- which files they can read, which programs they can execute, and how they share data with other principals, and so on....
58p
trinhvietnambk
29-05-2013
77
9
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After this lecture you should be able to: Describe the primary Vector data models used in GIS and give examples, describe raster data models and give examples, describe TIN data models, explain “topology”, describe the main file formats used in GIS.
70p
hongmai1604
18-05-2014
42
5
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The Z transformation has many applications in Mathematics, especially in solving difference equations to help handle discrete data models. This article provides one more application of the Z transformation, which is the summation of a series.
6p
viprimi
16-12-2024
1
1
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The goals of this chapter are: Define and describe models, explain how to create a model, describe how to pass model data from controllers to view, explain how to create strongly typed models, explain the role of the model binder, explain how to use scaffolding in Visual Studio.NET.
46p
estupendo1
06-08-2016
42
4
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