Results 21 to 30 of about 21,605 (294)
A Novel Capsule Based Hybrid Neural Network for Sentiment Classification
IEEE Access, 2019 Sentiment classification of short text is a challenging task because of limited contextual information. We propose a capsule-based hybrid neural network model which can obtain the implicit semantic information effectively.
Yongping Du +3 more
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Remote Sensing, 2021 In order to overcome the disadvantages of convolution neural network (CNN) in the current hyperspectral image (HSI) classification/segmentation methods, such as the inability to recognize the rotation of spatial objects, the difficulty to capture the ...
Le Sun +4 more
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Retrieval of Chemical Oxygen Demand through Modified Capsule Network Based on Hyperspectral Data
Applied Sciences, 2019 This study focuses on the retrieval of chemical oxygen demand (COD) in the Baiyangdian area in North China, using a modified capsule network. Herein, the capsule model was modified to analyze the regression relationship between 1-D hyperspectral data and
Chubo Deng, Lifu Zhang, Yi Cen
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Emotional Speaker Verification Using Novel Modified Capsule Neural Network
Mathematics, 2023 Capsule Neural Network (CapsNet) models are regarded as efficient substitutes for convolutional neural networks (CNN) due to their powerful hierarchical representation capability.
Ali Bou Nassif +4 more
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DenseCapsNet: Detection of COVID-19 from X-ray images using a capsule neural network. [PDF]
Comput Biol Med, 2021 Quan H +5 more
europepmc +2 more sources
SensorsThis paper addresses the challenges of low accuracy and long transfer learning time in small-sample bearing fault diagnosis, which are often caused by limited samples, high noise levels, and poor feature extraction.
Jarula Yasenjiang +4 more
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Detecting fake news with capsule neural networks [PDF]
Applied Soft Computing, 2021 Fake news is dramatically increased in social media in recent years. This has prompted the need for effective fake news detection algorithms. Capsule neural networks have been successful in computer vision and are receiving attention for use in Natural Language Processing (NLP).
Mohammad Hadi Goldani +2 more
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Improved Two-Branch Capsule Network for Hyperspectral Image Classification [PDF]
Jisuanji kexue yu tansuo, 2022 The method based on the dual-channel capsule network extracts spectral information and spatial informa-tion separately in two channels, which not only retains the feature extraction method of the dual-channel convolu-tional neural network, but also ...
ZHANG Haitao, CHAI Simin
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Capsule Graph Neural Networks with EM Routing [PDF]
Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 2021 To effectively classify graph instances, graph neural networks need to have the capability to capture the part-whole relationship existing in a graph. A capsule is a group of neurons representing complicated properties of entities, which has shown its advantages in traditional convolutional neural networks.
Yu Lei, Jing Zhang 0015
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ECG signal classification using capsule neural networks [PDF]
IET Networks, 2021 Abstract Cardiovascular diseases (CVD) are the dominant cause of deaths in the world, of which 90% are curable. The electrocardiogram (ECG) measures the electrical stimulus of the heart noninvasively. Convolutional neural networks (CNN) act as one of the powerful machine learning techniques to classify ECG arrhythmia classification ...
Neela Tejashwini, Namburu Swetha
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