Výsledky vyhledávání - conventional denoising autoencoder (dae)

State of charge estimation of lithium-ion battery using denoising autoencoder and gated recurrent unit recurrent neural network Autor Chen, Junxiong, Feng, Xiong, Jiang, Lin, Zhu, Qiao

“… processing method with the conventional gated recurrent unit recurrent neural network (GRU-RNN) method. First, a denoising autoencoder neural network…”
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Microscopic biopsy image reconstruction using inception block with denoising auto-encoder approach Autor Singh, Shiksha, Kumar, Rajesh

“…The use of computer-aided image analysis for disease diagnosis and prognosis has dramatically increased during the past 10 years. The introduction of…”
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Weak ultrasonic guided wave signal recognition based on one-dimensional convolutional neural network denoising autoencoder and its application to small defect detection in pipelines Autor Wu, Jing, Yang, Yingfeng, Lin, Zeyu, Lin, Yizhou, Wang, Yan, Zhang, Weiwei, Ma, Hongwei

“…•The denoising autoencoder integrated with convolutional neural network has good signal denoising ability…”
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Learning and visualizing chronic latent representations using electronic health records Autor Chushig-Muzo, David, Soguero-Ruiz, Cristina, Miguel Bohoyo, Pablo de, Mora-Jiménez, Inmaculada

“…), hampering the knowledge extraction with conventional approaches. Methods We propose the use of the Denoising Autoencoder (DAE…”
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A Study on Denoising Autoencoder Noise Selection for Improving the Fault Diagnosis Rate of Vibration Time Series Data Autor Jang, Jun-gyo, Lee, Soon-sup, Hwang, Se-Yun, Lee, Jae-chul

“…This study analyzes the impact of different types of random noise applied in Denoising Autoencoder (DAE…”
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Correlation distance skip connection denoising autoencoder (CDSK-DAE) for speech feature enhancement Autor Badi, Alzahra, Park, Sangwook, Han, David K., Ko, Hanseok

“… This work focuses on a feature enhancement for noise robust end-to-end ASR system by introducing a novel variant of denoising autoencoder (DAE…”
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Noise reduction in the spectral domain of hyperspectral images using denoising autoencoder methods Autor Zhang, Chu, Zhou, Lei, Zhao, Yiying, Zhu, Susu, Liu, Fei, He, Yong

“…), Savitzky-Golay smoothing (SGS), wavelet transform (WT) and empirical mode decomposition (EMD). The basic denoising autoencoder…”
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Nonlinear Dynamic Process Monitoring Based on Discriminative Denoising Autoencoder and Canonical Variate Analysis Autor Liang, Jun, Liu, Daoguang, Zhan, Yinxiao, Fan, Jiayu

“… In this article, we present a novel process monitoring approach, CVA-DisDAE, which integrates an improved Denoising Autoencoder (DAE…”
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Real-Time Motion Artifact Removal in fNIRS with Denoising Autoencoder at the Edge Autor Li, Jinchen, Xia, Yunjia, Lei, Jingyu, Cooper, Robert J., Zhao, Hubin

“…), which can obscure physiological information. Herein, we propose to deploy a denoising autoencoder (DAE…”
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Defective wafer detection using a denoising autoencoder for semiconductor manufacturing processes Autor Fan, Shu-Kai S., Hsu, Chia-Yu, Jen, Chih-Hung, Chen, Kuan-Lung, Juan, Li-Ting

“… However, conventional methods of observing equipment sensor readings directly often cannot identify the critical features or statistics…”
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A tunable diode laser absorption spectroscopy (TDLAS) signal denoising method based on LSTM-DAE Autor zhao, Peng, Ding, Dan, Li, Kaitai, Li, Ye, Jin, Guangyong

“… In this paper, a digital denoising method based on Long Short-Term Memory Denoising Autoencoder (LSTM-DAE…”
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Poster: A Simple Deep Learning Based V2X Channel Estimation Scheme Using Denoising Autoencoder Autor Oh, Kang-Hyun, Kim, Chang Hyun, Lim, Sungmook, Song, Changick

“… In this recent result paper, we propose a denoising autoencoder (DAE) based channel estimation scheme…”
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Multi-Layered Model Approach (MLMA) For Heart Vein Blockage Detection Using Gated Recurrent Unit (GRU) and Denoising Autoencoders (DAES) Autor G.V. Rajya Lakshmi

“…Cardiovascular diseases (CVD) continue to be the leading cause of death worldwide, and sophisticated diagnostic techniques must be developed to detect and…”
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Robust and Fast Temperature Extraction for Brillouin Optical Time-Domain Analyzer by Using Denoising Autoencoder-Based Deep Neural Networks Autor Wang, Biwei, Guo, Nan, Wang, Liang, Yu, Changyuan, Lu, Chao

“…) sensing systems using the denoising autoencoder (DAE) based deep neural networks (DNN) is demonstrated. After appropriate training, the DAE suppresses the noise on the measured Brillouin gain spectrum…”
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Sparsity‐based autoencoders for denoising cluttered radar signatures Autor Ram, Shobha Sundar, Vishwakarma, Shelly, Sneh, Akanksha, Yasmeen, Kainat

“…‐dependent and target‐independent static and dynamic clutter arising from walls. A stacked and sparse denoising autoencoder (StackedSDAE…”
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Exploring multi-channel features for denoising-autoencoder-based speech enhancement Autor Araki, Shoko, Hayashi, Tomoki, Delcroix, Marc, Fujimoto, Masakiyo, Takeda, Kazuya, Nakatani, Tomohiro

“…This paper investigates a multi-channel denoising autoencoder (DAE)-based speech enhancement approach…”
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Denoising-Autoencoder-Aided Euclidean Distance Matrix Reconstruction for Connectivity-Based Localization: A Low-Rank Perspective Autor Lee, Woong-Hee, Ozger, Mustafa, Challita, Ursula, Song, Taewon

“…In contrast to conventional localization methods, connectivity-based localization is a promising approach that leverages wireless links among network nodes…”
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Investigation of the effectiveness of a classification method based on improved DAE feature extraction for hepatitis C prediction Autor Zhang, Lin, Wang, Jixin, Chang, Rui, Wang, Weigang

“…) and applies it to hepatitis C disease detection. Conventional denoising autoencoder introduces random noise at the input layer of the encoder…”
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Anomaly Root Cause Analysis for Wind Turbines Based on Denoising Autoencoder and Sparse Estimation Autor Du, Songtao, Wan, Yiming, Zhang, Cong, Zhang, Sihang

“… To cope with this problem, we propose a denoising autoencoder (DAE) based anomaly detector and performs anomaly root cause analysis using sparse estimation…”
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A Data-Driven Soft Sensor Modeling Method Based on Deep Learning and its Application Autor Yan, Weiwu, Tang, Di, Lin, Yujun

“… This paper introduces deep learning to soft sensor modeling and proposes a novel soft sensor modeling method based on a deep learning network that integrates denoising autoencoders with a neural network (DAE-NN…”
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