Výsledky vyhledávání - stacked denoising autoencoder(SDAE)~

Convergence Technology Opportunity Discovery for Firms Based on Technology Portfolio Using the Stacked Denoising AutoEncoder (SDAE) Autor Kwon, Deuksin, Sohn, So Young

“… The present research, by employing a stacked denoising autoencoder, a deep neural network-based collaborative filtering method, provides reliable latent preference toward convergence technology for individual firms…”
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Anomaly detection and diagnosis for wind turbines using long short-term memory-based stacked denoising autoencoders and XGBoost Autor Zhang, Chen, Hu, Di, Yang, Tao

“… An anomaly detection and diagnosis method for wind turbines using long short-term memory-based stacked denoising autoencoders (LSTM-SDAE…”
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Probabilistic Stacked Denoising Autoencoder for Power System Transient Stability Prediction With Wind Farms Autor Su, Tong, Liu, Youbo, Zhao, Junbo, Liu, Junyong

“…To address the uncertainties of renewable energy and loads in transient stability assessment with credible contingencies, this letter proposes a stacked denoising autoencoder (SDAE…”
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An Anomaly Detection Method for UAV Based on Wavelet Decomposition and Stacked Denoising Autoencoder Autor Zhou, Shenghan, He, Zhao, Chen, Xu, Chang, Wenbing

“…The paper proposes an anomaly detection method for UAVs based on wavelet decomposition and stacked denoising autoencoder…”
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Stacked Multilevel-Denoising Autoencoders: A New Representation Learning Approach for Wind Turbine Gearbox Fault Diagnosis Autor Jiang, Guoqian, He, Haibo, Xie, Ping, Tang, Yufei

“… This paper proposes a novel feature representation learning approach, named stacked multilevel-denoising autoencoders (SMLDAEs…”
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Ensemble Targeted Stacked Denoising Autoencoders With Mutual Information Constraint for Rotating Machinery Fault Diagnosis Autor Zhao, Yinghao, Yang, Xu, Huang, Jian, Gao, Jingjing, Zhou, Xian, Zhang, Tao

“…Since the poor quality of signals and redundant features may reduce the accuracy of fault diagnosis of rotating machinery components, an ensemble targeted stacked denoising autoencoders (ETSDAE…”
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Two-Stream Deep Architecture for Hyperspectral Image Classification Autor Hao, Siyuan, Wang, Wei, Ye, Yuanxin, Nie, Tingyuan, Bruzzone, Lorenzo

“… The proposed method consists of a two-stream architecture and a novel fusion scheme. In the two-stream architecture, one stream employs the stacked denoising autoencoder…”
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A New Online Detection Approach for Rolling Bearing Incipient Fault via Self-Adaptive Deep Feature Matching Autor Mao, Wentao, Chen, Jiaxian, Liang, Xihui, Zhang, Xinming

“…) and Kurtosis criterion. Based on the assessment results, a kind of deep learning algorithm, i.e., stacked denoising autoencoder…”
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Cosaliency Detection Based on Intrasaliency Prior Transfer and Deep Intersaliency Mining Autor Zhang, Dingwen, Han, Junwei, Han, Jungong, Shao, Ling

“… For the intrasaliency prior transfer, we build a stacked denoising autoencoder (SDAE) to learn the saliency prior knowledge from auxiliary annotated data sets and then transfer…”
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High-Resolution Remote Sensing Image Zero-Watermarking Algorithm Based on Blockchain and SDAE Autor Xu, Dingjie, Ren, Na, Zhu, Changqing

“… To address these limitations, this article proposes a novel watermarking algorithm based on blockchain and stacked denoising autoencoder (SDAE…”
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Adaptive data recovery model for PMU data based on SDAE in transient stability assessment Autor Wang, Huaiyuan, Ouyang, Yucheng

“… Noises from different sources have different characteristics. If the noise of the actual input data is different from the noise considered in the training, the output results of the denoising method for a certain noise are often unsatisfactory…”
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Stepwise Inertial Intelligent Control of Wind Power for Frequency Regulation Based on Stacked Denoising Autoencoder and Deep Neural Network Autor WANG Yalun, ZHOU Tao, CHEN Zhong, WANG Yi, QUAN Hao

“…Stepwise inertial control (SIC) provides a step-increase of power after load fluctuation, which can effectively prevent system frequency decline and ensure the…”
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CLPM: A Cooperative Link Prediction Model for Industrial Internet of Things Using Partitioned Stacked Denoising Autoencoder Autor Rui, Lanlan, Zhu, Yu, Gao, Zhipeng, Qiu, Xuesong

“…) using a stacked denoising autoencoder (SDAE) to predict links of the IIoT-based MDs at the next moment through historical link information…”
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Automatic Arrival Time Detection for Earthquakes Based on Stacked Denoising Autoencoder Autor Saad, Omar M., Inoue, Koji, Shalaby, Ahmed, Samy, Lotfy, Sayed, Mohammed S.

“…) of the seismic data is low, such as during microearthquakes. In this letter, a stacked denoising autoencoder (SDAE…”
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Hybrid Physical-Data Driven Model for Denoising of Generator State Measurements Autor Wang, Huaiyuan, Zhang, Shiping, Liu, Baojin

“…) based on the stacked denoising autoencoder (SDAE) is proposed. First, the previous knowledge is extracted from the physical model of the generator…”
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Intelligent fault diagnosis method of rolling bearing based on stacked denoising autoencoder and convolutional neural network Autor Che, Changchang, Wang, Huawei, Ni, Xiaomei, Fu, Qiang

“… To solve those problems, an intelligent fault diagnosis model based on stacked denoising autoencoder (SDAE…”
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Object-Based Land-Cover Supervised Classification for Very-High-Resolution UAV Images Using Stacked Denoising Autoencoders Autor Zhang, Xiaodong, Chen, Guanzhou, Wang, Wenbo, Wang, Qing, Dai, Fan

“…) or stacked denoising autoencoders (SDAE) network, and trained the parameters of the network using training samples…”
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Physics-Informed SDAE-Based Denoising Model for High-Impedance Fault Detection Autor Lin, Jianxin, Wang, Xuchang, Wang, Huaiyuan

“… To address this challenge, an energy-proportion-guided channel-wise attention stacked denoising autoencoder (EPGCA-SDAE) model is proposed…”
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Defect Size Quantification for Pipeline Dynamic MFL Detection via 3-D Dynamic Magnetic Dipole Forward Model Autor Zhong, Yuan, Wang, Gang, Yu, Xue, Jia, Liang, Wang, Liwei, Zhang, Huaguang

“…Magnetic flux leakage (MFL) detection has been attracted much attention in evaluating the pipeline integrity due to its high efficiency. The precise…”
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A Cross-Domain Stacked Denoising Autoencoders for Rotating Machinery Fault Diagnosis Under Different Working Conditions Autor Pang, Shan, Yang, Xinyi

“… To address this problem, we develop a cross-domain stacked denoising autoencoders (CD-SDAE) with a new adaptation training strategy…”
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