Suchergebnisse - convolutional denoising autoencoder ((dae OR dane))

Attention-Based Convolutional Denoising Autoencoder for Two-Lead ECG Denoising and Arrhythmia Classification von Singh, Prateek, Sharma, Ambalika

“… To achieve this, a novel attention-based convolutional denoising autoencoder (ACDAE) model is proposed that utilizes a skip-layer and attention module for reliable reconstruction of ECG signals from extreme noise conditions …”
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Post-DAE: Anatomically Plausible Segmentation via Post-Processing With Denoising Autoencoders von Larrazabal, Agostina J., Martinez, Cesar, Glocker, Ben, Ferrante, Enzo

“… We introduce Post-DAE, a post-processing method based on denoising autoencoders (DAE) to improve the anatomical plausibility of arbitrary biomedical image segmentation algorithms …”
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Noise Reduction in ECG Signals Using Fully Convolutional Denoising Autoencoders von Chiang, Hsin-Tien, Hsieh, Yi-Yen, Fu, Szu-Wei, Hung, Kuo-Hsuan, Tsao, Yu, Chien, Shao-Yi

“… A denoising autoencoder (DAE) can be applied to reconstruct the clean data from its noisy version …”
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Galaxy Model Subtraction with a Convolutional Denoising Autoencoder von Liu, Rongrong, Peng, Eric W., Wang, Kaixiang, Ferrarese, Laura, Côté, Patrick

“… We build a convolutional denoising autoencoder (DAE) for galaxy model subtraction: images are compressed to a latent representation and reconstructed to yield the smooth galaxy, suppressing other objects …”
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RETRACTED: DAE‐GAN: An autoencoder based adversarial network for Gaussian denoising von Samanta, Abhishek, Saha, Aheli, Satapathy, Suresh Chandra, Lin, Hong

“… A denoising autoencoder has been employed as the Generator to learn image distributions and generate denoised images while the discriminator penalizes …”
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Fault Diagnosis of Rolling Bearing Using Convolutional Denoising Autoencoder and Siamese Neural Network With Small Sample von Zhao, Xufeng, Chen, Ying, Yang, Mengshu, Xiang, Jiawei

“… ) the scarcity of fault data for effective diagnostic tasks in practical scenarios. To address these issues, this article proposes a novel method termed convolutional denoising autoencoder and siamese neural network (CDAE-SNN …”
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Physical Layer Authentication for Industrial Control Based on Convolutional Denoising Autoencoder von Chen, Yanru, He, Haoyu, Liu, Shengjie, Zhang, Yuanyuan, Li, Yang, Xing, Bin, Guo, Bing, Chen, Liangyin

“… To address these challenges, we propose a convolutional denoising autoencoder (CDAE) model that reduces feature dimensions, eliminates noise, and extracts key vectors …”
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RunDAE model: Running denoising autoencoder models for denoising ECG signals von Samann, Fars, Schanze, Thomas

“… The denoising autoencoder (DAE) is commonly used to denoise bio-signals such as electrocardiogram (ECG …”
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ProADD: Proactive battery anomaly dual detection leveraging denoising convolutional autoencoder and incremental voltage analysis von Jeon, Jihun, Cheon, Hojin, Jung, Byungil, Kim, Hongseok

“… First, the denoising autoencoder (DAE) is leveraged to detect outliers in latent space clustering …”
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Simultaneous Data Reconciliation and Gross Error Detection Based on Denoising Autoencoder von Yang, Hong, Yuan, Yuan, Chen, Zhisheng, Xu, Xiaodong, Luo, Biao

“… This article proposes a deep learning approach based on denoising autoencoder (DAE) for dealing with simultaneous data reconciliation and gross error detection (SDR & GED …”
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Batch process quality prediction based on denoising autoencoder-spatial temporal convolutional attention mechanism fusion network: Batch process quality prediction based on denoising autoencoder-spatial temporal convolutional attention mechanism fusion network von Zhang, Yan, Cao, Jie, Zhao, Xiaoqiang, Hui, Yongyong

“… to prediction performance. Therefore, a denoising autoencoder-Spatial Temporal Convolution Attention Fusion Network (DAE-STCAFN …”
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Robust remaining useful life prediction of lithium-ion battery with convolutional denoising autoencoder von Yuliani, Asri Rizki, Pardede, Hilman Ferdinandus, Ramdan, Ade, Zilvan, Vicky, Yuwana, Raden Sandra, Amri, M Faizal, Kusumo, R. Budiarianto Suryo, Pramanik, Subrata

“… ) of Li-ion batteries. We propose a denoising autoencoder (DAE) utilized to remove noise from the data …”
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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 von 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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Accurate classification of Listeria species by MALDI-TOF mass spectrometry incorporating denoising autoencoder and machine learning von Li, Yunhong, Gan, Zeyu, Zhou, Xi, Chen, Zhiwei

“… Listeria monocytogenes belongs to the category of facultative anaerobic bacteria, and is the pathogen of listeriosis, potentially lethal disease for humans …”
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Sequential application of denoising autoencoder and long-short recurrent convolutional network for noise-robust remaining-useful-life prediction framework of lithium-ion batteries von Hong, Seonri, Kang, Moses, Kim, Jonghoon, Baek, Jongbok

“… •The denoising autoencoder is trained is follows: Gaussian noise, missing value, and the combination of two noise types …”
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Temporal convolutional denoising autoencoder network for air pollution prediction with missing values von Samal, K. Krishna Rani, Babu, Korra Sathya, Das, Santos Kumar

“… These issues make air quality models more complex and challenging to introspect. So, we developed Temporal Convolutional Denoising Autoencoder (TCDA …”
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Automated atrial fibrillation classification based on denoising stacked autoencoder and optimized deep network von Singh, Prateek, Sharma, Ambalika, Maiya, Shreesha

“… Denoising autoencoders (DAEs) utilising convolutional neural networks (CNNs) as backbones outperformed the other two DAE models …”
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Condition monitoring and performance forecasting of wind turbines based on denoising autoencoder and novel convolutional neural networks von Jia, Xiongjie, Han, Yang, Li, Yanjun, Sang, Yichen, Zhang, Guolei

“… ) and performance forecasting (PF). For CM, a robust denoising autoencoder (DAE) model is introduced to output the reconstruction error (RE) of raw signals …”
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Denoising autoencoder based topology identification in distribution systems with missing measurements von Raghuvamsi, Y., Teeparthi, Kiran, Kosana, Vishalteja

“… A temporal convolutional denoising autoencoder (TCDAE) is developed for dimensionality reduction, reconstruction of incomplete …”
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Multi-Source Data with Laplacian Eigenmaps and Denoising Autoencoder for Predicting Microbe-Disease Associations via Convolutional Neural Network von Lei, Xiu-Juan, Chen, Ya-Li, Pan, Yi

“… At the same time, the denoising autoencoder (DAE) is used to learn the attribute features of microbe nodes and disease nodes …”
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