Results 21 to 30 of about 320,500 (329)
Bandwidth Selection in Nonparametric Regression with Large Sample Size
Proceedings, 2018 In the context of nonparametric regression estimation, the behaviour of kernel methods such as the Nadaraya-Watson or local linear estimators is heavily influenced by the value of the bandwidth parameter, which determines the trade-off between bias and ...
Daniel Barreiro-Ures +2 more
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Self-Competence Learning for Bandwidth Slicing and Confidential Computing Requirement
IEEE Access, 2021 This work proposes a Self-Competence Learning bandwidth slicing method (SCL) to determine the quantity and position of each slice’s spectrum resources considering the channel diversity and varying bandwidth requirements.
Yen-Hung Chen
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A 3D Parallel Algorithm for QR Decomposition [PDF]
, 2018 Interprocessor communication often dominates the runtime of large matrix computations. We present a parallel algorithm for computing QR decompositions whose bandwidth cost (communication volume) can be decreased at the cost of increasing its latency cost
Ballard, Grey +4 more
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Bandwidth Control in Computer- Generated Holography
IEEE Photonics Journal, 2023 The Fourier transform between the time and frequency signals of light enables highly efficient band usage in optical communications. Analogously, the Fourier transform between the wavefield and wavevector distributions in the optical spatial diffraction is useful to understand the bandwidth considered in the diffraction simulations.
Mian Wu +6 more
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Fog Fragment Cooperation on Bandwidth Management Based on Reinforcement Learning
Sensors, 2020 The term big data has emerged in network concepts since the Internet of Things (IoT) made data generation faster through various smart environments. In contrast, bandwidth improvement has been slower; therefore, it has become a bottleneck, creating the ...
Motahareh Mobasheri +2 more
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QoS-Aware Cost Minimization Strategy for AMI Applications in Smart Grid Using Cloud Computing
Sensors, 2022 Cloud computing coupled with Internet of Things technology provides a wide range of cloud services such as memory, storage, computational processing, network bandwidth, and database application to the end users on demand over the Internet.
Asfandyar Khan +6 more
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Low-Bandwidth and Compute-Bound RGB-D Planar Semantic SLAM [PDF]
Sensors, 2021 Visual simultaneous location and mapping (SLAM) using RGB-D cameras has been a necessary capability for intelligent mobile robots. However, when using point-cloud map representations as most RGB-D SLAM systems do, limitations in onboard compute resources, and especially communication bandwidth can significantly limit the quantity of data processed and ...
Zhang, Jincheng +4 more
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Fairness and energy co-aware computation offloading for fog-assisted IoT
工程科学学报, 2022 As an extension of the cloud computing paradigm, fog computing has attracted wide attention due to its advantages of low energy consumption, short time delay, and high bandwidth saving.
Si-guang CHEN, Zi-hui YOU
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Applied Sciences, 2019 Data mining is a set of methods used to mine hidden information from data. It mainly includes frequent pattern mining, sequential pattern mining, classification, and clustering.
Chun-Cheng Lin +5 more
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HPC Accelerators with 3D Memory [PDF]
, 2016 Artículo invitado, publicado en las actas del congreso por IEEE Society Press. Páginas 320 a 328. ISBN: 978-1-5090-3593-9.DOI 10.1109/CSE-EUC-DCABES-2016.203After a decade evolving in the High Performance Computing arena, GPU-equipped supercomputers have
Ujaldon-Martinez, Manuel
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