Search Results - "Deep convolutional autoencoder"

A Deep Convolutional Autoencoder for Automatic Motion Artifact Removal in Electrodermal Activity by Hossain, Md-Billal, Posada-Quintero, Hugo F., Chon, Ki H.

“…) removal technique from electrodermal activity (EDA) signal. Methods: we proposed a deep convolutional autoencoder (DCAE…”
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Constructing fine-granularity functional brain network atlases via deep convolutional autoencoder by Zhao, Yu, Dong, Qinglin, Chen, Hanbo, Iraji, Armin, Li, Yujie, Makkie, Milad, Kou, Zhifeng, Liu, Tianming

“…•A new deep 3D convolutional autoencoder to model brain network maps.•Derived fine-granularity functional brain network atlases.•Revealed unique network…”
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Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics by Makkie, Milad, Huang, Heng, Zhao, Yu, Vasilakos, Athanasios V, Liu, Tianming

“… series components with corresponding spatial maps. Meanwhile, analyzing and learning a large amount of tfMRI data from a variety of subjects has been shown to be very…”
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Compression of EMG Signals Using Deep Convolutional Autoencoders by Dinashi, Kimia, Ameri, Ali, Akhaee, Mohammad Ali, Englehart, Kevin, Scheme, Erik

“… As a solution, this work proposes a new method for EMG data compression using deep convolutional autoencoders (CAE…”
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Deep Learning Approach for Epileptic Focus Localization by Daoud, Hisham, Bayoumi, Magdy

“… Our first proposed method is based on semi-supervised learning, in which a deep convolutional autoencoder is trained and then the pre-trained encoder is used with multi-layer perceptron as a classifier…”
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From Faces to Outdoor Light Probes by Calian, Dan A., Lalonde, Jean‐François, Gotardo, Paulo, Simon, Tomas, Matthews, Iain, Mitchell, Kenny

“…Image‐based lighting has allowed the creation of photo‐realistic computer‐generated content. However, it requires the accurate capture of the illumination…”
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Hierarchical Individual Naturalistic Functional Brain Networks with Group Consistency Uncovered by a Two-Stage NAS-Volumetric Sparse DBN Framework by Xu, Shuhan, Ren, Yudan, Tao, Zeyang, Song, Limei, He, Xiaowei

“…) because of its dynamics and multimodal information. In recent years, various deep learning models, such as deep convolutional autoencoder (DCAE…”
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Denoising UWB Radar Data for Human Activity Recognition Using Convolutional Autoencoders by Lafontaine, Virgile, Bouchard, Kevin, Maitre, Julien, Gaboury, Sebastien

“… The main contribution of this paper is UWB radar data cleaning on a practical dataset. The UWB radar data has been filtered using an unsupervised deep convolutional autoencoder (CNN-AE…”
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Multilevel Feature Alignment Method for Advancing Remaining Useful Life Prediction of Rolling Bearing by Pei, Xuewu, Gao, Yiping, Li, Xinyu, Gao, Liang, Zhao, Xingxin

“…Rolling bearings are the key components of various equipment and easily subject to failure, remaining useful life (RUL…”
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컨볼루션 오토인코더를 이용한 마스크 착용 얼굴 이미지 생성 by 이승호(Seung Ho Lee)

“… However, it is difficult for the researchers to obtain masked face images for each human subject…”
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