Search Results - fully convolutional denoising autoencoder~

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

“… In this paper, a DAE using the fully convolutional network (FCN) is proposed for ECG signal denoising…”
Get full text

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…”
Get full text

Removing Noise from Extracellular Neural Recordings Using Fully Convolutional Denoising Autoencoders by Kechris, Christodoulos, Delitzas, Alexandros, Matsoukas, Vasileios, Petrantonakis, Panagiotis C.

“… To this end, we propose an end-to-end deep learning approach to the problem, utilizing a Fully Convolutional Denoising Autoencoder, which learns to produce a clean neuronal activity signal…”
Get full text

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…”
Get full text

Intelligent FCDAE Denoiser for Reliable Decoding Over Correlated Noise Channel by Li, Yan, Lu, Huaiyin, Zhang, Lin, Chen, Jianyuan, Wu, Zhiqiang

“… In order to suppress the noise, we propose a denoiser based on a fully convolutional denoising autoencoder (FCDAE…”
Get full text

Cross-Technology Interference Mitigation Using Fully Convolutional Denoising Autoencoders by Lin, Chi-Lun, Lin, Kate Ching-Ju, Lee, Chi-Cheng, Tsao, Yu

“… To overcome this deficiency, we present a CTI suppression framework based on Denoising AutoEncoder (DAE…”
Get full text

Removing Noise from Extracellular Neural Recordings Using Fully Convolutional Denoising Autoencoders by Kechris, Christodoulos, Delitzas, Alexandros, Matsoukas, Vasileios, Petrantonakis, Panagiotis C

“… To this end, we propose an end-to-end deep learning approach to the problem, utilizing a Fully Convolutional Denoising Autoencoder, which learns to produce a clean neuronal activity signal…”
Get full text

Single channel audio source separation using convolutional denoising autoencoders by Grais, Emad M., Plumbley, Mark D.

“… In this work, we propose to use deep fully convolutional denoising autoencoders (CDAEs) for monaural audio source separation…”
Get full text

Fully convolutional denoising autoencoder for 3D scene reconstruction from a single depth image by Palla, Alessandro, Moloney, David, Fanucci, Luca

“…In this work, we propose a 3D scene reconstruction algorithm based on a fully convolutional 3D denoising autoencoder neural network…”
Get full text

Fully convolutional Deep Stacked Denoising Sparse Auto encoder network for partial face reconstruction by Dinesh, P.S., Manikandan, M.

“…•In this partial face detection (PFD) is used to overcome the challenges involved in face detection and reconstruction.•A novel PFD algorithm called Self-…”
Get full text

Transfer learning for denoising the echolocation clicks of finless porpoise (Neophocaena phocaenoides sunameri) using deep convolutional autoencoders by Yang, Wuyi, Chang, Wenlei, Song, Zhongchang, Zhang, Yu, Wang, Xianyan

“… In this study, deep convolutional autoencoders (DCAEs) are presented to denoise the echolocation clicks of the finless porpoise…”
Get more information

Boundary-Preserved Deep Denoising of Stochastic Resonance Enhanced Multiphoton Images by Niu, Sheng-Yong, Guo, Lun-Zhang, Li, Yue, Zhang, Zhiming, Wang, Tzung-Dau, Liu, Kai-Chun, Li, You-Jin, Tsao, Yu, Liu, Tzu-Ming

“…Objective: With the rapid growth of high-speed deep-tissue imaging in biomedical research, there is an urgent need to develop a robust and effective denoising method to retain morphological features for further…”
Get full text

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…”
Get full text

A denoising semi-supervised deep learning model for remaining useful life prediction of turbofan engine degradation by Wang, Youming, Wang, Yue

“… To address these problems, a denoised semi-supervised model based on fully convolutional denoising autoencoder, convolutional neural network, and long short-term memory network (FCDAE-CNN-LSTM…”
Get full text

Fully Unsupervised Diversity Denoising with Convolutional Variational Autoencoders by Mangal Prakash, Krull, Alexander, Jug, Florian

“… Here, we propose DivNoising, a denoising approach based on fully convolutional variational autoencoders (VAEs…”
Get full text

Toward Informative Representations of Blood‐Based Infrared Spectra via Unsupervised Deep Learning by Wegner, Corinna, Zarandy, Zita I., Feiler, Nico, Gigou, Lea, Halenke, Timo, Leopold‐Kerschbaumer, Niklas, Krusche, Maik, Skibicka, Weronika, Kepesidis, Kosmas V.

“… We developed a fully convolutional denoising autoencoder to process Fourier transform infrared (FTIR…”
Get full text

Ground Target Recognition Using Carrier-Free UWB Radar Sensor With a Semi-Supervised Stacked Convolutional Denoising Autoencoder by Zhu, Yuying, Zhang, Shuning, Li, Xiaoxiong, Zhao, Huichang, Zhu, Lingzhi, Chen, Si

“… Feature extraction is fundamental and crucial for target recognition. In this paper a deep network named semi-supervised stacked convolutional denoising autoencoder (SCDAE…”
Get full text

An improved autoencoder for denoising acoustic emission signals in rock fracturing by Wang, Tingting, Qin, Yifan, Zhao, Wanchun, Pathegama Gamage, Ranjith, Jiang, Jingyi, Du, Xuetong

“… In this study, we propose an enhanced model for denoising rock fracture AE signals, called simplified fully convolutional denoising autoencoder (SFCDAE…”
Get full text

ECG Noise Removal Using FCN DAE Method by Kollem, Sreedhar, Baig, Mirza Rahman, Lasya, Donthireddy, Kalyan, Eligeti Ashwad, Varma, Karre Nithin

“… To recycle pure data in its audio version, a denoising autoencoder (DAE) might be utilized. The results of experiments on ECG signals with various degrees of SNR input reveal that FCN outperforms fully connected neural network-and convolutional neural-based denoising network models significantly…”
Get full text

ECG Signal Denoising Method Based on Disentangled Autoencoder by Lin, Haicai, Liu, Ruixia, Liu, Zhaoyang

“… A disentangled autoencoder is an improved autoencoder suitable for denoising ECG data. In our proposed method, we use a disentangled autoencoder model based on a fully…”
Get full text