Results 61 to 70 of about 21,605 (294)
A capsule-unified framework of deep neural networks for graphical programming [PDF]
Soft Computing, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yujian Li +3 more
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Learning Capsules for SAR Target Recognition
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Deep learning has been successfully utilized in synthetic aperture radar (SAR) automatic target recognition tasks and obtained state-of-the-art results. However, current deep learning algorithms do not perform well when SAR images are occluded, noisy, or
Yunrui Guo +4 more
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Will Capsule Networks overcome Convolutional Neural Networks on Pedestrian Walking Direction ?
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2019 Thousands of people are dying every year due to road accidents; in fact 23% of world fatal accidents are pedestrians related, where 40% of them occur in Africa as reported by the World Health Organisation (WHO). Predicting the walking direction of a pedestrian could help to avoid an eventual accident.
Safaâ Dafrallah +3 more
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Medical imaging analysis with artificial neural networks
, 2010 Given that neural networks have been widely reported in the research community of medical imaging, we provide a focused literature survey on recent neural network developments in computer-aided diagnosis, medical image segmentation and edge detection ...
J. Ren +8 more
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, 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
Edraki, Marzieh +2 more
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CBIR system using Capsule Networks and 3D CNN for Alzheimer's disease diagnosis
Informatics in Medicine Unlocked, 2019 Alzheimer’s disease (AD) is an irreversible disorder of the brain related to loss of memory, commonly seen in the elderly and aging population. Implementation of revolutionary computer aided diagnosis techniques with Content Based Image Retrieval (CBIR ...
K.R. Kruthika +2 more
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IEEE Access, 2021 The improvement of remote sensing scene classification(RSSC) by effectively extracting discriminant representations for complex and diverse scenes remains a challenging task. The capsule network(CapsNet) can encode the spatial relationship of features in
Chunyuan Wang +4 more
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Capsule Networks Showed Excellent Performance in the Classification of hERG Blockers/Nonblockers
Frontiers in Pharmacology, 2020 Capsule networks (CapsNets), a new class of deep neural network architectures proposed recently by Hinton et al., have shown a great performance in many fields, particularly in image recognition and natural language processing. However, CapsNets have not
Yiwei Wang +8 more
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Machines, 2022 As scalar neurons of traditional neural networks promote dimension reduction caused by pooling, it is a difficult task to extract the high-dimensional spatial features and long-term correlation of pure signals from the noisy vibration signal.
Youming Wang, Gongqing Cao, Jiali Han
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Multimodal cyberbullying detection using capsule network with dynamic routing and deep convolutional neural network [PDF]
, 2021 Cyberbullying is the use of information technology networks by individuals’ to humiliate, tease, embarrass, taunt, defame and disparage a target without any face-to-face contact.
Sachdeva, N, Kumar, A
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