Results 41 to 50 of about 21,605 (294)
, 2019 The Convolutional Neural Network (CNN) have shown a substantial improvement in the field of Machine Learning. But they do come with their own set of drawbacks.
Bhamidi, Sree Bala Shruthi +1 more
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Cow Face Recognition for a Small Sample Based on Siamese DB Capsule Network
IEEE Access, 2022 Dairy cow face recognition using Neural Networks has several hurdles. For example, there are only a few instances of each individual. The positions and angles of the individuals in the image fluctuate considerably, the differences between individuals are
Feng Xu, Jing Gao, Xin Pan
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CapsTM: capsule network for Chinese medical text matching
BMC Medical Informatics and Decision Making, 2021 Background Text Matching (TM) is a fundamental task of natural language processing widely used in many application systems such as information retrieval, automatic question answering, machine translation, dialogue system, reading comprehension, etc.
Xiaoming Yu +6 more
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Next-Generation Neural Networks: Capsule Networks With Routing-by-Agreement for Text Classification [PDF]
IEEE Access, 2021 These days, neural networks constantly prove their high capacity for nearly every application case and are considered as key technology for learning systems. However, neural networks need to continuously evolve for managing new arising challenges like increasing task complexity, explainability of decision making processes, expanded problem domains ...
Nikolai A. K. Steur, Friedhelm Schwenker
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Optimization of the closed-loop controller of a discontinuous capsule drive using a neural network [PDF]
, 2023 In this paper the construction of a neural-network based closed-loop control of a discontinuous capsule drive is analyzed. The foundation of the designed controller is an optimized open-loop control function.
Balcerzak, M +5 more
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Graph Capsule Convolutional Neural Networks
CoRR, 2018 Graph Convolutional Neural Networks (GCNNs) are the most recent exciting advancement in deep learning field and their applications are quickly spreading in multi-cross-domains including bioinformatics, chemoinformatics, social networks, natural language processing and computer vision.
Saurabh Verma, Zhi-Li Zhang
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Neural network-based approach for the classification of wireless-capsule endoscopic images [PDF]
, 2005 The importance of computer-assisted diagnosis in endoscopy is to assist the physician in detecting the status of tissues by characterising the features from the endoscopic image.
M. Boulougoura +3 more
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RCN2: Residual Capsule Network V2
, 2021 Unlike Convolutional Neural Network (CNN), which works on the shift-invariance in image processing, Capsule Networks can understand hierarchical model relations in depth[1]. This aspect of Capsule Networks let them stand out even when models are enormous
Mohamed El-Sharkawy +3 more
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Computer-assisted diagnosis of wireless-capsule endoscopic images using neural network based techniques [PDF]
, 2005 Computerised processing of medical images can ease the search of the representative features in the images. The endoscopic images possess rich information expressed by texture.
M. Boulougoura +5 more
core +1 more source
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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