Search Results - convolutional denoising autoencoder~

Signal‐to‐noise ratio enhancement for Raman spectra based on optimized Raman spectrometer and convolutional denoising autoencoder by Fan, Xian‐guang, Zeng, Yingjie, Zhi, Yu‐Liang, Nie, Ting, Xu, Ying‐jie, Wang, Xin

“…‐the‐shelf cylindrical lens. On the other side of the algorithm, a relevant automatic denoising method of convolutional denoising autoencoder (CDAE…”
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Adversarial Defense Based on Denoising Convolutional Autoencoder in EEG-Based Brain-Computer Interfaces by Ding, Yongting, Li, Lin, Li, Qingyan

“… This study introduces a defense approach based on autoencoders, termed the Denoising Convolutional Autoencoder (DCAE…”
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Radar Signal Intra-Pulse Modulation Recognition Based on Convolutional Denoising Autoencoder and Deep Convolutional Neural Network by Qu, Zhiyu, Wang, Wenyang, Hou, Changbo, Hou, Chenfan

“… A radar signal intra-pulse modulation recognition method based on convolutional denoising autoencoder (CDAE…”
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Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder by Jung, Yuyeon, Kim, Taewan, Han, Mi-Ryung, Kim, Sejin, Kim, Geunyoung, Lee, Seungchul, Choi, Youn Jin

“…Discrimination of ovarian tumors is necessary for proper treatment. In this study, we developed a convolutional neural network model with a convolutional autoencoder (CNN-CAE…”
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Colour‐patterned fabric defect detection based on an unsupervised multi‐scale U‐shaped denoising convolutional autoencoder model by Zhang, Hongwei, Liu, Shuting, Tan, Quanlu, Lu, Shuai, Yao, Le, Ge, Zhiqiang

“…‐patterned fabric images. Second, a multi‐scale U‐shaped denoising convolutional autoencoder was modelled using defect…”
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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 by 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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Within-project and cross-project just-in-time defect prediction based on denoising autoencoder and convolutional neural network by Zhu, Kun, Zhang, Nana, Ying, Shi, Zhu, Dandan

“… Therefore, the authors propose a novel just-in-time defect prediction model named DAECNN-JDP based on denoising autoencoder and convolutional neural network in this study, which has three main advantages…”
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Medical Image Denoising Using Convolutional Denoising Autoencoders by Gondara, Lovedeep

“… In this paper we show that using small sample size, denoising autoencoders constructed using convolutional layers can be used for efficient denoising of medical images…”
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Performance evaluation of image denoising developed using convolutional denoising autoencoders in chest radiography by Lee, Donghoon, Choi, Sunghoon, Kim, Hee-Joung

“… In this study, we introduce an image denoising technique based on a convolutional denoising autoencoder (CDAE…”
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Automatic Fabric Defect Detection with a Multi-Scale Convolutional Denoising Autoencoder Network Model by Mei, Shuang, Wang, Yudan, Wen, Guojun

“… This approach is used to reconstruct image patches with a convolutional denoising autoencoder network at multiple Gaussian pyramid levels and to synthesize detection results from the corresponding resolution channels…”
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Author Correction: Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder by Jung, Yuyeon, Kim, Taewan, Han, Mi-Ryung, Kim, Sejin, Kim, Geunyoung, Lee, Seungchul, Choi, Youn Jin

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Attention-Based Convolutional Denoising Autoencoder for Two-Lead ECG Denoising and Arrhythmia Classification by 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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Galaxy Model Subtraction with a Convolutional Denoising Autoencoder by 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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Robust Feature Extraction for Geochemical Anomaly Recognition Using a Stacked Convolutional Denoising Autoencoder by Xiong, Yihui, Zuo, Renguang

“… Our approach adopted a stacked convolutional denoising autoencoder (SCDAE) to extract robust features and decreased the level of sensitivity to partially corrupted data, that is, input data that are partially missing…”
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Noise Reduction in ECG Signals Using Fully Convolutional Denoising Autoencoders by 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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Elimination of Random Mixed Noise in ECG Using Convolutional Denoising Autoencoder With Transformer Encoder by Chen, Meng, Li, Yongjian, Zhang, Liting, Liu, Lei, Han, Baokun, Shi, Wenzhuo, Wei, Shoushui

“… To suppress random mixed noise (RMN) in ECG with less distortion, we propose a Transformer-based Convolutional Denoising AutoEncoder model (TCDAE) in this study…”
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Separating the EoR signal with a convolutional denoising autoencoder: a deep-learning-based method by Li, Weitian, Xu, Haiguang, Ma, Zhixian, Zhu, Ruimin, Hu, Dan, Zhu, Zhenghao, Gu, Junhua, Shan, Chenxi, Zhu, Jie, Wu, Xiang-Ping

“… of interferometers, will generate significant fluctuations along the frequency dimension. To address this issue, we propose a novel deep-learning-based method that uses a nine-layer convolutional denoising autoencoder (CDAE…”
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Enhancing SNR in CEST imaging: A deep learning approach with a denoising convolutional autoencoder by Kurmi, Yashwant, Viswanathan, Malvika, Zu, Zhongliang

“…Purpose To develop a SNR enhancement method for CEST imaging using a denoising convolutional autoencoder (DCAE…”
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Fault Diagnosis of Rolling Bearing Using Convolutional Denoising Autoencoder and Siamese Neural Network With Small Sample by 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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A novel dimensionality reduction approach for ECG signal via convolutional denoising autoencoder with LSTM by Dasan, Evangelin, Panneerselvam, Ithayarani

“…•Compressing the signal before transmission can reduce the signal transmission cost in wearable technology.•Reduced transmission time can increase the battery…”
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