Results 31 to 40 of about 4,566,044 (241)
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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Optimisation of a Capsule Transporting Pipeline Carrying Spherical Capsules [PDF]
Pipelines carrying fluids and slurries are very common. The third-generation pipelines carrying spherical or cylindrical capsules (hollow containers) filled with minerals or other materials including hazardous liquids are rather a new concept.
Ubbi, Kuldip +3 more
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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
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Malware Detection Based on the Feature Selection of a Correlation Information Decision Matrix
Mathematics, 2023 Smartphone apps are closely integrated with our daily lives, and mobile malware has brought about serious security issues. However, the features used in existing traffic-based malware detection techniques have a large amount of redundancy and useless ...
Kai Lu, Jieren Cheng, Anli Yan
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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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Technology of swallowable capsule for medical applications [PDF]
, 2014 Medical technology has undergone major breakthroughs in recent years, especially in the area of the examination tools for diagnostic purposes. This paper reviews the swallowable capsule technology in the examination of the gastrointestinal system for ...
Meng, H, Intzes, I, Cosmas, J
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Text classification model based on static routing and grouped capsule network
四川大学学报. 自然科学版, 2021 The use of capsule network in the fields of image and language have progressed tremendously over the past few years, with the extensive research of the capsule network.
ZHU Hai-Jing +4 more
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Detecting and managing small bowel Crohn’s disease – capsule endoscopy becoming a first line diagnostic method? [PDF]
, 2011 Small bowel endoscopy is crucial for diagnosing small bowel Crohn’s disease, and capsule endoscopy is complemented by balloon-assisted enteroscopy to take biopsies and by magnetic resonance imaging to visualize enteral and extra-intestinal involvement ...
Hausmann, Johannes +1 more
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IET Renewable Power GenerationThis paper deals with a new continuous mixed p‐norm (CMPN) based adaptive asymmetrical fuzzy logic controller (AAFLC) method for single stage grid integrated photovoltaic (PV) system as an inverter control strategy.
Neeraj Priyadarshi +3 more
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Capsule Network Implementation On FPGA
مجلة العلوم البحتة والتطبيقية, 2020 A capsule neural network (CapsNet) is a new approach in artificial neural network (ANN) that produces a better hierarchical relationship. The performance of CapsNet on graphics processing unit (GPU) is considerably better than convolutional neural ...
Salim A. Adrees , Ala A. Abdulrazeg
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