Multitask Residual Shrinkage Convolutional Neural Network for Sleep Apnea Detection Based on Wearable Bracelet Photoplethysmography
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3195777
Abstract: Sleep apnea syndrome (SAS) is a common chronic respiratory disorder, which seriously harms human health. In order to realize the large-scale promotion of SAS detection, the SAS detection method based on wearable devices has attracted… read more here.
Keywords: network; sas detection; sleep apnea; detection ... See more keywords
Pareto-optimal Adaptive Loss Residual Shrinkage Network for Imbalanced Classification of Machinery Fault Diagnostics
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3094186
Abstract: In the industrial applications of mechanical fault diagnosis, machines work in normal condition at most time. In other words, most of the collected datasets are highly imbalanced. Although deep learning has been widely applied in… read more here.
Keywords: optimal adaptive; pareto optimal; loss; residual shrinkage ... See more keywords
Image Motion Deblurring Based on Deep Residual Shrinkage and Generative Adversarial Networks
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/5605846
Abstract: A network structure (DRSN-GAN) is proposed for image motion deblurring that combines a deep residual shrinkage network (DRSN) with a generative adversarial network (GAN) to address the issues of poor noise immunity and low generalizability… read more here.
Keywords: deep residual; image motion; generative adversarial; motion deblurring ... See more keywords
Robust photon-efficient imaging using a pixel-wise residual shrinkage network
Sign Up to like & getrecommendations! Published in 2022 at "Optics express"
DOI: 10.1364/oe.452597
Abstract: Single-photon light detection and ranging (LiDAR) has been widely applied to 3D imaging in challenging scenarios. However, limited signal photon counts and high noises in the collected data have posed great challenges for predicting the… read more here.
Keywords: pixel wise; wise residual; photon efficient; photon ... See more keywords