Results 11 to 20 of about 29,311 (260)
Motor Imagery EEG Classification Using Capsule Networks [PDF]
Sensors, 2019 Various convolutional neural network (CNN)-based approaches have been recently proposed to improve the performance of motor imagery based-brain-computer interfaces (BCIs). However, the classification accuracy of CNNs is compromised when target data are distorted. Specifically for motor imagery electroencephalogram (EEG), the measured signals, even from
Kwon-Woo Ha, Jin-Woo Jeong
openaire +4 more sources
Capsule graph networks for accurate and interpretable crystalline materials property prediction [PDF]
Journal of CheminformaticsAccurate and interpretable modeling of crystalline materials is essential for understanding the structure–property relationships in materials critical in accelerating materials discovery.
Eddah K. Sure, Xing Wu, Quan Qian
doaj +2 more sources
Multikernel Capsule Network for Schizophrenia Identification [PDF]
IEEE Transactions on Cybernetics, 2022 Objective: Schizophrenia seriously affects the quality of life. To date, both simple (linear discriminant analysis) and complex (deep neural network) machine learning methods have been utilized to identify schizophrenia based on functional connectivity features.
Tian Wang +3 more
openaire +4 more sources
Bipartite graph capsule network [PDF]
World Wide Web, 2022 AbstractGraphs have been widely adopted in various fields, where many graph models are developed. Most of previous research focuses on unipartite or homogeneous graph analysis. In this graphs, the relationships between the same type of entities are preserved in the graphs.
Xianhang Zhang +5 more
openaire +1 more source
UCaps Network Based on EM-Routing Algorithm for Medical Image Segmentation [PDF]
Jisuanji gongcheng, 2022 The existing medical image segmentation networks are limited in segmentation accuracy, and often lose image information as well as produce vague segmentation boundary.In this paper, we propose a multi-label image segmentation network named UCaps, which ...
WANG Wenxin, HE Yuhang, CHEN Gang
doaj +1 more source
Skolyoz için Kapsül Ağları Tabanlı Otomatik Ölçüm Sistemi
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2021 Skolyoz, omurganın eğrilmesi ile birlikte omurga genel yapısını deforme eden bir hastalıktır. Skolyoz tanı ve tedavi aşamasında çeşitli yöntemler olmakla birlikte, temel amaç Cobb açısı adı verilen eğrilik açısını azaltarak Skolyoz seviyesini düşürme ...
Utku Köse, Sena Goral
doaj +1 more source
Limitation of capsule networks [PDF]
Pattern Recognition Letters, 2021 A recently proposed method in deep learning groups multiple neurons to capsules such that each capsule represents an object or part of an object. Routing algorithms route the output of capsules from lower-level layers to upper-level layers. In this paper, we prove that state-of-the-art routing procedures decrease the expressivity of capsule networks ...
Peer, David +2 more
openaire +2 more sources
Image Super-Resolution Using Capsule Neural Networks
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 +1 more source
Proceedings of the AAAI Conference on Artificial Intelligence, 2020 Convolutional neural networks (CNNs) have become a key asset to most of fields in AI. Despite their successful performance, CNNs suffer from a major drawback. They fail to capture the hierarchy of spatial relation among different parts of an entity. As a remedy to this problem, the idea of capsules was proposed by Hinton.
Edraki, Marzieh +2 more
openaire +3 more sources
Frontiers in Artificial Intelligence, 2021 The newly discovered Coronavirus Disease 2019 (COVID-19) has been globally spreading and causing hundreds of thousands of deaths around the world as of its first emergence in late 2019.
Shahin Heidarian +11 more
doaj +1 more source