Search Results - "convolutional denoising autoencoder"

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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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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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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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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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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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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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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Assessment of flame stability through a convolutional denoising autoencoder and statistical analysis by Han, Zhezhe, Tang, Xiaoyu, Hossain, Md. Moinul, Xu, Chuanlong

“… In this method, the deep image features are extracted by an unsupervised convolutional denoising autoencoder (CDAE…”
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Conditioned fully convolutional denoising autoencoder for multi-target NILM by García, Diego, Pérez, Daniel, Papapetrou, Panagiotis, Díaz, Ignacio, Cuadrado, Abel A., Enguita, José M., Domínguez, Manuel

“… This study assesses a conditioned deep neural network built upon a Fully Convolutional Denoising AutoEncoder (FCNdAE…”
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Noise Reduction in Photoplethysmography Signals using a Convolutional Denoising Autoencoder with Unconventional Training Scheme by Mohagheghian, Fahimeh, Han, Dong, Ghetia, Om, Peitzsch, Andrew, Nishita, Nishat, Nejad, Mahdi Pirayesh Shirazi, Ding, Eric Y., Noorishirazi, Kamran, Hamel, Alexander, Otabil, Edith Mensah, DiMezza, Danielle, Dickson, Emily L., Tran, Khanh-Van, McManus, David D., Chon, Ki H.

“…Objective : We propose an efficient approach based on a convolutional denoising autoencoder (CDA…”
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Terahertz spectra reconstructed using convolutional denoising autoencoder for identification of rice grains infested with Sitophilus oryzae at different growth stages by Pu, Hongbin, Yu, Jingxiao, Luo, Jie, Paliwal, Jitendra, Sun, Da-Wen

“… Then, the convolutional denoising autoencoder (CDAE) was used to reconstruct THz spectra to reduce…”
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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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Feature learning using convolutional denoising autoencoder for activity recognition by Mohd Noor, Mohd Halim

“… Specifically, the proposed method jointly trains a convolutional denoising autoencoder with a convolutional neural network to learn the underlying features and produces a compact feature representation of the data…”
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An Efficient Convolutional Denoising Autoencoder-Based BDS NLOS Detection Method in Urban Forest Environments by Qin, Yahang, Li, Zhenni, Xie, Shengli, Zhao, Haoli, Wang, Qianming

“…The BeiDou Navigation Satellite System (BDS) provides real-time absolute location services to users around the world and plays a key role in the rapidly…”
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TumorAwareNet: Deep representation learning with attention based sparse convolutional denoising autoencoder for brain tumor recognition by Bodapati, Jyostna Devi, Balaji, Bharadwaj Bagepalli

“…) images suitable for effective tumor recognition. The proposed model employs a Sparse Convolutional Denoising Autoencoder (SCDA…”
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Fault Diagnosis of Rolling Bearings Based on a Residual Dilated Pyramid Network and Full Convolutional Denoising Autoencoder by Shi, Hongmei, Chen, Jingcheng, Si, Jin, Zheng, Changchang

“… diagnosis methods deteriorate sharply. In this regard, this paper proposes a new intelligent diagnosis algorithm for rolling bearing faults based on a residual dilated pyramid network and full convolutional denoising autoencoder (RDPN-FCDAE…”
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Overcomplete graph convolutional denoising autoencoder for noisy skeleton action recognition by Guo, Jiajun, Ji, Qingge, Shan, Guangwei

“… In this work, an overcomplete Graph Convolutional Denoising Autoencoder (GCDAE) is proposed which can act as a flexible preprocessing module for pretrained recognition backbones and improve their robustness…”
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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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Temporal convolutional denoising autoencoder network for air pollution prediction with missing values by 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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