Výsledky vyhledávání - stacked denoising autoencoder((sdae OR sae))

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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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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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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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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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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Roller bearing fault diagnosis using stacked denoising autoencoder in deep learning and Gath–Geva clustering algorithm without principal component analysis and data label Autor Xu, Fan, Tse, Wai tai Peter, Tse, Yiu Lun

“…Most deep learning models such as stacked autoencoder (SAE) and stacked denoising autoencoder (SDAE…”
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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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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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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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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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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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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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Life prediction of lithium-ion batteries based on stacked denoising autoencoders Autor Xu, Fan, Yang, Fangfang, Fei, Zicheng, Huang, Zhelin, Tsui, Kwok-Leung

“… In this study, a deep learning-based stacked denoising autoencoder (SDAE) method is proposed to directly predict battery life by extracting various battery features…”
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Denoising Letter Images from Scanned Invoices Using Stacked Autoencoders Autor Ibrahim, Muhammad, Hanif, Muhammad, Ahmad, Shabir, Jamil, Faisal, Sehar, Tayyaba, Lee, YunJung, Kim, DoHyeun

“… A stacked denoising autoencoder (SDAE) is implemented with two hidden layers each in encoder network and decoder network…”
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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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A novel multimodal framework for automatic recognition of individual cattle based on hybrid features using sparse stacked denoising autoencoder and group sparse representation techniques Autor Kumar, Santosh, Kumar, Sunil, Shafi, Mehak, Chaube, Mithilesh Kumar

“… This paper proposes an automatic recognition system to identify cattle based on face and muzzle image features using sparse Stacked Denoising Autoencoder (SDAE…”
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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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Toward Robust Fault Identification of Complex Industrial Processes Using Stacked Sparse-Denoising Autoencoder With Softmax Classifier Autor Liu, Jinping, Xu, Longcheng, Xie, Yongfang, Ma, Tianyu, Wang, Jie, Tang, Zhaohui, Gui, Weihua, Yin, Huazhan, Jahanshahi, Hadi

“…This article proposes a robust end-to-end deep learning-induced fault recognition scheme by stacking multiple sparse-denoising autoencoders with a Softmax classifier, called stacked spare-denoising autoencoder (SSDAE…”
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