Výsledky vyhľadávania - "Stacked denoising autoencoder (SDAE)"

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

“…This paper presents a new online detection approach for rolling bearing's incipient fault based on self-adaptive deep feature matching (SDFM). This approach…”
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Cosaliency Detection Based on Intrasaliency Prior Transfer and Deep Intersaliency Mining Autor Zhang, Dingwen, Han, Junwei, Han, Jungong, Shao, Ling

“…As an interesting and emerging topic, cosaliency detection aims at simultaneously extracting common salient objects in multiple related images. It differs from…”
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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…”
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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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Hybrid Physical-Data Driven Model for Denoising of Generator State Measurements Autor Wang, Huaiyuan, Zhang, Shiping, Liu, Baojin

“…The measurement data of power systems are often mixed with a lot of noise due to the interference of the external environment. In order to eliminate the effect…”
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High-Resolution Remote Sensing Image Zero-Watermarking Algorithm Based on Blockchain and SDAE Autor Xu, Dingjie, Ren, Na, Zhu, Changqing

“…Existing zero-watermarking algorithms for remote sensing images heavily rely on traditional feature extraction techniques, which are vulnerable to targeted…”
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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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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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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

“…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…”
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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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Deep-Learning-based Channel Estimation for Chaotic Wireless Communication Autor Yin, Hui-Ping, Zhao, Xiao-Hui, Yao, Jun-Ling, Ren, Hai-Peng

“…A deep-learning-based channel estimation method for chaotic wireless communication is proposed in this letter, which is based on a deep neural network (DNN)…”
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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

“…With the development of Industry 4.0, an increasing number of industrial Internet of Things (IIoT) mobile devices (MD), which constantly transmit data at any…”
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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.

“…The accurate detection of P-wave arrival time is imperative for determining the hypocenter location of an earthquake. However, precise detection of onset time…”
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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

“…Purpose The purpose of this study is to analyze the intelligent fault diagnosis method of rolling bearing. Design/methodology/approach The vibration signal…”
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