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

“…Technology convergence, as a key driving force of innovation, has brought a burgeoning of research attention. Although numerous studies on technology…”
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Two-Stream Deep Architecture for Hyperspectral Image Classification Autor Hao, Siyuan, Wang, Wei, Ye, Yuanxin, Nie, Tingyuan, Bruzzone, Lorenzo

“…Most traditional approaches classify hyperspectral image (HSI) pixels relying only on the spectral values of the input channels. However, the spatial context…”
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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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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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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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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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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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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…”
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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. This method takes the negative impact…”
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Early Fault Detection via Multiple Feature Fusion and Ensemble Learning Autor Song, Wenbin, Wu, Di, Shen, Weiming, Boulet, Benoit

“…Early fault detection (EFD) of rotating machines is important to decrease the maintenance cost and improve the mechanical system stability. One of the key…”
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Adaptive data recovery model for PMU data based on SDAE in transient stability assessment Autor Wang, Huaiyuan, Ouyang, Yucheng

“…During the measurement and transmission in power systems, the noise will interfere the data to varying degrees, and the accuracy of transient stability…”
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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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Blink talk: A machine learning-based method for women safety using EEG and eye blink signals Autor Priya, K. Shanmuga, Vasanthi, S., R, Nithyanandhan, G, Vinoth Chakkaravarthy, P, Golda Jeyasheeli, M, Karthiga, C, Pandi

“…). The pre-processed signals are fed into Stacked Denoising autoencoder (SDAE) for extracting the features…”
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基于堆叠式降噪自动编码器和深度神经网络的风电调频逐步惯性智能控制 Autor 王亚伦, 周涛, 陈中, 王毅, 权浩

“…TM732; 风电调频的逐步惯性控制(SIC)策略在负荷波动后提供一个阶跃式功率增发,能够有效阻止系统频率下降,保障电网频率安全.但在其功率恢复阶段,容易出现二次频率跌落现象,…”
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Support Vector Machine – Recursive Feature Elimination for Feature Selection on Multi-omics Lung Cancer Data Autor Azman, Nuraina Syaza, A Samah, Azurah, Lin, Ji Tong, Abdul Majid, Hairudin, Ali Shah, Zuraini, Wen, Nies Hui, Howe, Chan Weng

“…Biological data obtained from sequencing technologies is growing exponentially. Multi-omics data is one of the biological data that exhibits high…”
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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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Deep-Learning-based Channel Estimation for Chaotic Wireless Communication Autor Yin, Hui-Ping, Zhao, Xiao-Hui, Yao, Jun-Ling, Ren, Hai-Peng

“…) pre-trained by the stacked denoising autoencoder (SDAE) structure. The DNN learns the channel parameters by using the autocorrelation function (ACF…”
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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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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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