Results 11 to 20 of about 33,619 (260)
IEEE Access, 2021 This work presents an investigation on Improved Extended Kalman Filter (IEKF) performance for induction motor drive without a speed sensor. The performance of a direct sensorless vector-controlled system through simulation and experimental work is tested.
Mohana Lakshmi Jayaramu +5 more
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ICTACT Journal on Image and Video Processing, 2021 The text presented in videos contains important information for a wide range of vision-based applications. The key modules for extracting this information include detection of text followed by its recognition, which are the subject of our study.
Ahmed Tibermacine, Selmi Mohamed Amine
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Quantum Science and Technology, 2022 Abstract Capsule networks (CapsNets), which incorporate the paradigms of connectionism and symbolism, have brought fresh insights into artificial intelligence (AI). The capsule, as the building block of CapsNets, is a group of neurons represented by a vector to encode different features of an entity.
Zidu Liu +4 more
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Simplified Routing Mechanism for Capsule Networks
Algorithms, 2023 Classifying digital images using neural networks is one of the most fundamental tasks within the field of artificial intelligence. For a long time, convolutional neural networks have proven to be the most efficient solution for processing visual data ...
János Hollósi +2 more
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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
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CoRR, 2022 Capsule networks are a class of neural networks that achieved promising results on many computer vision tasks. However, baseline capsule networks have failed to reach state-of-the-art results on more complex datasets due to the high computation and memory requirements.
Josef Gugglberger +2 more
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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
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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.
Marzieh Edraki +2 more
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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
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Capsule Network with Shortcut Routing
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2021 8 pages, published at IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences E104.A(8)
Thanh Vu Dang +3 more
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