
Data networking
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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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High quality of service (QoS) requirements in multi-priority wireless sensor networks pose new challenges to the Internet of Things (IoT). In a multi-event wireless sensor network (MWSN), nodes generate different types of data packets with different priority such as urgent (high priority) or normal (low priority), with different traffic proportion.
10p
viengfa
28-10-2024
3
2
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This study presents a novel neural network (NN) framework for developing force fields specific to graphene monolayers, utilizing data obtained from first-principles calculations. The authors analyze three primary force components, force magnitude and the cosines of two angles across different configurations of surrounding carbon atoms.
7p
viengfa
28-10-2024
5
2
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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
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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
3
2
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The main objective of this study is to predict accurately the loaddeflection of composite concrete bridges using two popular machine learning (ML) models namely Random Tree (RT) and Artificial Neural Network (ANN). Data from 83 track loading tests conducted on various bridges in Vietnam were collected and analyzed.
9p
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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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
5
0
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This study explores the impact of bank networks on foreign direct investment (FDI) using data on country pairs. Global bank linkages are quantified by the number of connected bank pairs engaged in international lending between the source and host countries.
12p
viyuhi
26-03-2025
2
0
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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
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 study investigates the relationship between green bank regulation and global bank geographic complexity using data from 121 countries spanning the period 1996 to 2021. By examining the affiliate networks of internationally active banking organizations, we construct a comprehensive measure of bank geographic complexity for each country.
16p
viinuzuka
28-02-2025
5
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
17
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
4
2
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This article constructs a convolutional neural network for predicting pressure and velocity fields around a twodimensional aircraft wing model (airfoil model). Training data is computed using the Reynolds-averaged method, and then extracted, focusing on the flow around the wing.
11p
viyamanaka
06-02-2025
3
2
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1 - Thiết bị nào hoạt động ở tầng Vật lý (Physical)? [a]--Switch [b]--Card mạng [c]--Hub và repeater [d]--Router 2 - Môi trường truyền tin thông thuờng trong mạng máy tính là? [a]--Các loại cáp như: UTP, STP, cáp điện thoại, cáp quang,...
39p
truongngu300
17-01-2013
790
162
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Blockchain technology is a revolutionary concept that has transformed various industries, offering decentralized and secure solutions for data management. At its core, a blockchain is a distributed and immutable ledger that records transactions across a network of computers.
9p
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
6
2
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Tham khảo bài thuyết trình 'accessing data with ado.net', công nghệ thông tin, kỹ thuật lập trình phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả
40p
kiditer
28-09-2009
483
167
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