Results 31 to 40 of about 12,117,820 (296)
Propulsion and Power Research, 2018 In this paper, we apply a new modification of the Adomian decomposition method for solving the problem of boundary layer convective heat transfer with viscous dissipation and low pressure gradient over a at plate.
Yassir Daoud, Ahmed A. Khidir
doaj +1 more source
Journal of King Saud University: Computer and Information Sciences, 2022 Clustering on graphs (networks) is becoming intractable due to increasing sizes. Nyström spectral graph clustering (NSC) is a popular method to circumvent the problem.
Jingzhi Tu +2 more
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Geometry Preserving Sampling Method Based on Spectral Decomposition for Large-Scale Environments
Frontiers in Robotics and AI, 2020 In the context of 3D mapping, larger and larger point clouds are acquired with lidar sensors. Although pleasing to the eye, dense maps are not necessarily tailored for practical applications.
Mathieu Labussière +4 more
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IEEE Access, 2021 Spectral photon-counting CT offers novel potentialities to achieve quantitative decomposition of material components, in comparison with traditional energy-integrating CT or dual-energy CT.
Bingqing Xie +9 more
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An Accelerated Method for Investigating Spectral Properties of Dynamically Evolving Nanostructures [PDF]
, 2022 The discrete-dipole approximation (DDA) is widely applied to study the spectral properties of plasmonic nanostructures. However, the high computational cost limits the application of DDA in static geometries, making it impractical for investigating ...
Yibin, Jiang +2 more
core +1 more source
A domain decomposition method for approximating the conformal modules of long quadrilaterals [PDF]
, 1991 This paper is concerned with the study of a domain decomposition method for approximating the conformal modules of long quadrilaterals. The method has been studied already by us and also by D Gaier and W K Hayman, but only in connection with a special ...
N. S. Stylianopoulos +3 more
core +6 more sources
IET Science, Measurement & Technology, 2023 Partial discharge (PD) detection is essential in assessing the insulation state of electrical equipment. However, PD signals are often overwhelmed by interference, resulting in inaccurate detection results.
Yifan Xu +5 more
doaj +1 more source
Kurtosis Based Empirical Mode Decomposition for Rolling Bearing Fault Detection [PDF]
MATEC Web of Conferences, 2020 A bearing fault diagnosis approach based on spectral kurtosis and empirical mode decomposition (EMD) is proposed. EMD is a signal decomposition technique, which can adaptively separate a number of intrinsic mode functions (IMFs) from the vibration signal
Li Hui, Liu Xuhan
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The Accuracy of Spectral Decomposition Methods
Proceedings, 2013 In the context of exploration seismology the resolution of spectral decomposition techniques has been extensively reviewed but the accuracy of these methods has only been discussed qualitatively in regards to the resolution. Using a marginal condition the fundamental accuracy of the matching pursuit decomposition, Stockwell transform, Wigner-Ville ...
openaire +2 more sources
Multiple Spectral-Spatial Representation Based on Tensor Decomposition for HSI Anomaly Detection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 To exploit the spectral-spatial information of hyperspectral image (HSI) and achieve higher the detection accuracy, a novel multiple spectral-spatial representation based on tensor decomposition method is proposed for HSI anomaly detection (AD) in this ...
Yujian Wang +5 more
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