Results 1 to 10 of about 1,569,447 (281)
Patient Selection for Mitral Transcatheter Edge-to-Edge Repair
Methodist DeBakey Cardiovascular Journal, 2023 Mitral regurgitation (MR) is one of the most common valvular heart diseases, with many patients remaining non-suitable for surgical interventions. Transcatheter edge-to-edge repair (TEER) is a rapidly evolving procedure that allows safe and effective ...
Habib Layoun +5 more
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PageRank Optimization by Edge Selection [PDF]
Discrete Applied Mathematics, 2012 The importance of a node in a directed graph can be measured by its PageRank. The PageRank of a node is used in a number of application contexts - including ranking websites - and can be interpreted as the average portion of time spent at the node by an ...
Avrachenkov +19 more
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Salience-Based Edge Selection in Flicker and Binocular Color Vision [PDF]
i-Perception, 2020 A test cross that flickers between light yellow and dark blue at 5 to 8Hz looks apparently yellow on a dark gray surround and apparently blue on a light gray surround ( flicker augmented contrast ).
Stuart Anstis, Grace Hong, Alan Ho
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Automatika, 2021 Mobile edge computing is a new paradigm which provides cloud computing capabilities at the edge of pervasive radio access networks in close proximity to users. The problem of edge server selection in mobile edge environment in terms of user’s overhead is
Yi-wen Zhang +4 more
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Feature Selection for Edge Detection in PolSAR Images
Remote Sensing, 2023 Edge detection is one of the most critical operations for moving from data to information. Finding edges between objects is relevant for image understanding, classification, segmentation, and change detection, among other applications.
Anderson A. De Borba +3 more
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Edge-Distilled and Local–Global Feature Selection Network for Hyperspectral Image Super-Resolution [PDF]
SensorsIn recent years, the methods based on convolutional neural networks have achieved significant progress in hyperspectral image super-resolution.
Xinzhao Li +3 more
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Optimum Selection of DNN Model and Framework for Edge Inference [PDF]
IEEE Access, 2018 This paper describes a methodology to select the optimum combination of deep neural network and software framework for visual inference on embedded systems. As a first step, benchmarking is required. In particular, we have benchmarked six popular network
Delia Velasco-Montero +3 more
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Workload Characteristics Based Performance Optimization for Edge Intelligence [PDF]
Jisuanji kexue, 2022 Edge intelligence refers to a form of service that uses artificial intelligence algorithms to provide data analysis capabilities for network edge devices.However,the edge computing environment is more complex and changeable than cloud computing.There are
HU Zhao-xia, HU Hai-zhou, JIANG Cong-fengand WAN Jian
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Resource Allocation Strategy Based on Game Theory in Mobile Edge Computing [PDF]
Jisuanji kexue, 2023 The existing research on resource allocation strategies of mobile edge computing mostly focus on delay and energy consumption,but relatively less consideration is given to the benefits of edge servers.When considering the benefits of edge servers,many ...
CHEN Yipeng, YANG Zhe, GU Fei, ZHAO Lei
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A well selection method of CO2 huff and puff in heavy oil reservoir with edge and bottom water based on water cut [PDF]
E3S Web of Conferences, 2021 The water cut of heavy oil reservoir with edge and bottom water rises rapidly and the recovery degree of crude oil is low. CO2 huff and puff is an effective measure to improve the recovery of this kind of reservoir, and scientific well selection is the ...
Wang Jia +7 more
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