Results 11 to 20 of about 21,605 (294)
Heart Murmur Classification Using a Capsule Neural Network [PDF]
Bioengineering, 2023 The healthcare industry has made significant progress in the diagnosis of heart conditions due to the use of intelligent detection systems such as electrocardiograms, cardiac ultrasounds, and abnormal sound diagnostics that use artificial intelligence ...
Yu-Ting Tsai +4 more
doaj +4 more sources
Remote Sensing, 2022 Models based on capsule neural network (CapsNet), a novel deep learning method, have recently made great achievements in hyperspectral remote sensing image (HSI) classification due to their excellent ability to implicitly model the spatial relationship ...
Runmin Lei +6 more
doaj +4 more sources
Capsule neural network and its applications in drug discovery [PDF]
iScienceSummary: Deep learning holds great promise in drug discovery, yet its application is hindered by high labeling costs and limited datasets. Developing algorithms that effectively learn from sparsely labeled data is crucial.
Yiwei Wang +7 more
doaj +4 more sources
Image Super-Resolution Using Capsule Neural Networks [PDF]
IEEE Access, 2020 Convolutional neural networks (CNNs) have been widely applied in super-resolution (SR) and other image restoration tasks. Recently, Hinton et al. proposed capsule neural networks to resolve the problem of viewpoint variations in image classification ...
Jui-Ting Hsu, Chih-Hung Kuo, De-Wei Chen
doaj +2 more sources
Capsule Network with Its Limitation, Modification, and Applications—A Survey
Machine Learning and Knowledge Extraction, 2023 Numerous advancements in various fields, including pattern recognition and image classification, have been made thanks to modern computer vision and machine learning methods.
Mahmood Ul Haq +2 more
doaj +3 more sources
An Adaptive Capsule Network for Hyperspectral Remote Sensing Classification
Remote Sensing, 2021 The capsule network (Caps) is a novel type of neural network that has great potential for the classification of hyperspectral remote sensing. However, the Caps suffers from the issue of gradient vanishing.
Xiaohui Ding +6 more
doaj +3 more sources
E2‐capsule neural networks for facial expression recognition using AU‐aware attention
IET Image Processing, 2020 Capsule neural network is a new and popular technique in deep learning. However, the traditional capsule neural network does not extract features sufficiently before the dynamic routing between capsules.
Shan Cao, Yuqian Yao, Gaoyun An
doaj +2 more sources
Spatiotemporal Capsule Neural Network for Vehicle Trajectory Prediction
IEEE Transactions on Vehicular Technology, 2023 Through advancement of the Vehicle-to-Everything (V2X) network, road safety, energy consumption, and traffic efficiency can be significantly improved. An accurate vehicle trajectory prediction benefits communication traffic management and network resource allocation for the real-time application of the V2X network.
Yan Qin, Yong Liang Guan 0001, Chau Yuen
openaire +4 more sources
A Capsule Decision Neural Network Based on Transfer Learning for EEG Signal Classification
BiomimeticsTransfer learning is the act of using the data or knowledge in a problem to help solve different but related problems. In a brain computer interface (BCI), it is important to deal with individual differences between topics and/or tasks. A kind of capsule
Wei Zhang +3 more
doaj +2 more sources
Deep Convolutional Capsule Network for Hyperspectral Image Spectral and Spectral-Spatial Classification [PDF]
Remote Sensing, 2019 Capsule networks can be considered to be the next era of deep learning and have recently shown their advantages in supervised classification. Instead of using scalar values to represent features, the capsule networks use vectors to represent features ...
Kaiqiang Zhu +4 more
doaj +2 more sources