Networking applications
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Accurate daily load forecasting is critical for effective energy management planning. In this study, the article proposes a new method for daily load forecasting that takes advantage of load data and weather data over time in Tien Giang.
10p viengfa 28-10-2024 1 1 Download
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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 1 1 Download
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Artificial neural networks, which are an essential tool in Machine Learning, are used to solve many types of problems in different fields. This article will introduce an application of the artificial neural network model in the diagnosis of heart disease based on the heart.csv data file.
6p viengfa 28-10-2024 1 1 Download
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The basic characteristics of sensor were investigated, and these experimental data were used for a machine learning. The results of the model validation proved to be a reliable way between the experiment and prediction values.
10p viengfa 28-10-2024 1 1 Download
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This paper presents a technique for integrating battery energy storage systems (BESS) into a distribution network with penetration of wind and solar power in order to improve the operation efficiency of distribution networks, exploit renewable energy capability, and reduce operation issues.
12p viling 11-10-2024 3 1 Download
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Electricity demand is increasing, transmission line development can not keep up with it. This puts the power system in a full load state which puts the power system operating near the boundary of stability. This paper applies deep neural networks to predict power system dynamic stability.
10p viling 11-10-2024 2 1 Download
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Ultra-wideband (UWB) radars are getting much attention for maritime applications of smart and luxury ships in which UWB radar could be integrated into Bridge Navigational Watch & Alarm System - BNWAS. One of the interesting applications of UWB radar is vital signs measurement, which is a contactless method. UWB radar measures respiration and heartbeat rate by the motion of thorax for detecting and checking the state of people on the bridge.
5p vifilm 11-10-2024 1 0 Download
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In this study, we propose a NOMA communication model combined with linear array antennas for the purpose of enhancing physical layer security. We introduce a model of 4 nodes: transmitter node S, receiver node D1, receiver node D2, eavesdropping node E.
10p viling 11-10-2024 1 1 Download
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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 Download
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This study presents the application of six single algorithm-based models of artificial intelligence, such as artificial neural network (ANN), support vector machine (SVM), classification and regression trees (CART), linear regression (LR), general linear model (GENLIN), and automatic Chisquared interaction detection (CHAID) to predict the residual flexural capacity of corroded RC structures.
12p vibecca 01-10-2024 1 1 Download
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In this paper, a Convolutional Neural Network (CNN) method is employed to classify the crack/noncrack aerial images captured on the surface of concrete structures. The CNN model was trained and validated using the available experimental data of 4000 previously published images.
4p vibecca 01-10-2024 1 1 Download
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This study seeks to develop a prediction model to estimate the bond strength of FRP bars in concrete, utilizing an extended dataset from 1010 pull-out tests. Initially, the study evaluates the applicability of several bond strength formulas from existing codes.
16p vibecca 01-10-2024 3 0 Download
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This paper proposes a lefthanded circularly polarized (LHCP) 2×4 array antenna using sequential phase rotation power dividers at 5.8 GHz band. The element antenna is a square patch antenna with a slit in the middle for better impedance matching, six trapezoidal parasitic patches added to either side of the main patch to create resonance at high frequencies, and a metasurface placed on top of the main patch.
11p vibecca 01-10-2024 2 1 Download
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This paper introduces a methodology for generating an inundation map for rainy season and river network. To achieve this objective, we investigated the use of the recently developed Modified Normalized Difference Water Index (MNDWI) within the Google Earth Engine platform for extracting surface water.
11p vibecca 01-10-2024 1 1 Download
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For this aim, we propose to study a controlled fractional network-based SCIRS (Susceptible - Carrier - Infectious - Recovered - Susceptible) malware propagation model and its stabilization problem based on fractional interconnected TakagiSugeno fuzzy system.
11p viyoko 01-10-2024 2 1 Download
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This paper proposes and implements a model combining Zalo and end-toend encryption to apply in digital transformation. The main idea is to promote the strengths of the Zalo social network to exchange information and manage work but ensure information confidentiality for both the server and man-in-the-middle attacks based on the end-to-end encryption model.
14p viyoko 01-10-2024 3 1 Download
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In this paper, an artificial neural network (ANN) model was applied to forecast PM2.5 at the Coc Sau open–pit coal mine (Northern Vietnam) with fine–tuning parameters. It aims to provide the feasibility and insights into controlling air quality in open–pit mines using artificial intelligence techniques.
8p viyoko 01-10-2024 0 0 Download
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In this study, four machine learning models have been studied which are Artificial Neural Networks, Convolutional Neural Networks, Long Short-Term Memory (LSTM) and Extreme Learning Machine (ELM). They have been used to forecast the solar power of Nhi Ha solar farm in short-term.
8p viyoko 01-10-2024 3 1 Download
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An accurate prediction of the future condition of structural components is essential for planning the maintenance, repair, and rehabilitation of bridges. As such, this paper presents an application of Artificial Neural Networks (ANN) to predict future deck condition for highway bridges in the State of Alabama, the United States.
11p vifilm 24-09-2024 2 1 Download
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The main aim of this paper is to propose a risk assessment framework using Artificial Neural Network (ANN) technique. Three main phases of the proposed framework are risk management phase, ANN training phase and framework application phase.
12p viyoko 24-09-2024 1 1 Download