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Multi-scale methods for multi-component granular materials [PDF]
In this paper we review recent progress made to understand granular chutes flow using multi-scale modeling techniques. We introduce the discrete particle method (DPM) and explain how to construct continuum fields from discrete data in a way that is ...
Anthony R. Thornton +3 more
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Recently, deep learning (DL)-based hyperspectral image classification (HSIC) has attracted substantial attention. Many works based on the convolutional neural network (CNN) model have been certificated to be significantly successful for boosting the ...
Hongmin Gao, Zhonghao Chen, Chenming Li
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A Crossmodal Multiscale Fusion Network for Semantic Segmentation of Remote Sensing Data
Driven by the rapid development of Earth observation sensors, semantic segmentation using multimodal fusion of remote sensing data has drawn substantial research attention in recent years.
Xianping Ma, Xiaokang Zhang, Man-On Pun
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The utilization of multiscale entropy methods to characterize vibration signals has proven to be promising in intelligent diagnosis of mechanical equipment.
Zhengkun Xue +4 more
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(Multiscale) Cross-Entropy Methods: A Review
Cross-entropy was introduced in 1996 to quantify the degree of asynchronism between two time series. In 2009, a multiscale cross-entropy measure was proposed to analyze the dynamical characteristics of the coupling behavior between two sequences on ...
Antoine Jamin, Anne Humeau-Heurtier
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Many mesoscopic N-atom systems derive their structural and dynamical properties from processes coupled across multiple scales in space and time. That is, they simultaneously deform or display collective behaviors, while experiencing atomic scale ...
Stephen Pankavich, Peter Ortoleva
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Efficient Calculation of Multi-Scale Features for MMS Point Clouds [PDF]
Point clouds acquired by Mobile Mapping System (MMS) are useful for creating 3D maps that can be used for autonomous driving and infrastructure development.
K. Hiraoka, G. Takahashi, H. Masuda
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Particle-based hybrid and multiscale methods for nonequilibrium gas flows
Over the past half century, a variety of computational fluid dynamics (CFD) methods and the direct simulation Monte Carlo (DSMC) method have been widely and successfully applied to the simulation of gas flows for the continuum and rarefied regime ...
Jun Zhang +4 more
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Comparison of Multiscale Imaging Methods for Brain Research
A major challenge in neuroscience is how to study structural alterations in the brain. Even small changes in synaptic composition could have severe outcomes for body functions.
Jessica Tröger +9 more
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Many nonlinear dynamic and statistic methods, including multiscale sample entropy (MSE) and multiscale fuzzy entropy (MFE), have been widely studied and employed to fault diagnosis of the rolling bearing. Multiscale dispersion entropy (MDE) is a powerful
Congzhi Li +4 more
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