Zobrazeno 1 - 10
of 357
pro vyhledávání: '"stacked denoising autoencoder"'
Autor:
SHAN Chonghao
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 10, Pp 274-279 (2024)
Objective When using convolutional neural networks (CNNs) for the state detection of catenary system cotter pins, the imbalance between positive and negative samples leads to a low detection rate of missing pins in the network model. Thus, a single-s
Externí odkaz:
https://doaj.org/article/1e4b6be3a39145f5af24cbf54545d3c4
Publikováno v:
Journal of Intelligent Systems, Vol 33, Iss 1, Pp 6821-30 (2024)
A traceability and analysis method for measurement laboratory testing data based on the intelligent Internet of Things (IoT) and deep belief network (DBN) is proposed to address the issue of low accuracy in identifying anomalies in measurement testin
Externí odkaz:
https://doaj.org/article/b2a8183e0b4746a7aaeba8a4f7b0893c
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 323-339 (2024)
Existing zero-watermarking algorithms for remote sensing images heavily rely on traditional feature extraction techniques, which are vulnerable to targeted attacks and lack discriminability for images captured by different sensors or at different tim
Externí odkaz:
https://doaj.org/article/23bb2a27515440dbac1fedfec1aa0a53
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 57, Iss 11, Pp 1477-1491 (2023)
Stepwise inertial control (SIC) provides a step-increase of power after load fluctuation, which can effectively prevent system frequency decline and ensure the safety of grid frequency. However, in the power recovery stage, secondary frequency drop (
Externí odkaz:
https://doaj.org/article/5703db5dde17408889132f952768f68b
An Anomaly Detection Method for UAV Based on Wavelet Decomposition and Stacked Denoising Autoencoder
Publikováno v:
Aerospace, Vol 11, Iss 5, p 393 (2024)
The paper proposes an anomaly detection method for UAVs based on wavelet decomposition and stacked denoising autoencoder. This method takes the negative impact of noisy data and the feature extraction capabilities of deep learning models into account
Externí odkaz:
https://doaj.org/article/b2f8b29b20824d4b8e1f34bc50790953
Publikováno v:
Jisuanji kexue yu tansuo, Vol 16, Iss 11, Pp 2505-2518 (2022)
Network embedding’s goal is to learn the low-dimensional node feature representation in the network. The learned features are used in various network analysis tasks, such as node classification, link prediction, community detection and recommendati
Externí odkaz:
https://doaj.org/article/ad5e6a0570124a5aa7575f193c353cac
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 946-957 (2022)
Due to the large-scale popularization of renewable energy, the rotational inertia of modern power system is reduced, which increases the risk of power system failure and power outage when disturbance events occur. The wind turbine (WT) must be involv
Externí odkaz:
https://doaj.org/article/e2213d1e01814cd191a81dbf57319281
Autor:
K. Shanmuga Priya, S. Vasanthi, Nithyanandhan R, Vinoth Chakkaravarthy G, Golda Jeyasheeli P, Karthiga M, Pandi C
Publikováno v:
Measurement: Sensors, Vol 28, Iss , Pp 100810- (2023)
Women's safety is currently thought to be a big issue in both urban and rural settings. A variety of smart gadgets and software were created to provide women with security. There are a lot of smart gadgets and applications on the market, but they don
Externí odkaz:
https://doaj.org/article/6d1e72d7592c4f238b048b9f82002cd7
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Akademický článek
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