Results 21 to 30 of about 12,056,476 (300)
A Numerical Multiscale Method for Fiber Networks [PDF]
14th WCCM-ECCOMAS Congress, 2021 Fiber network modeling can be used for studying mechanical properties of paper. The individual fibers and the bonds in-between constitute a detailed representation of the material. However, detailed microscale fiber network models must be resolved with efficient numerical methods.
Morgan Görtz +4 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 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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Multiscale Hybrid-Mixed Method
SIAM Journal on Numerical Analysis, 2013 This work presents a priori and a posteriori error analyses of a new multiscale hybrid-mixed method (MHM) for an elliptic model. Specially designed to incorporate multiple scales into the construction of basis functions, this finite element method relaxes the continuity of the primal variable through the action of Lagrange multipliers, while assuring ...
Rodolfo Araya +3 more
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A Crossmodal Multiscale Fusion Network for Semantic Segmentation of Remote Sensing Data
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 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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Multiscale methods for the segmentation of images [PDF]
1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, 2002 This work presents a method for segmenting images based on gradients in the intensity function. Past approaches have centered on formulating the problem in the context of variational calculus as the minimization of a functional involving the image intensity and edge functions.
Michael K. Schneider +3 more
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Finite element heterogeneous multiscale methods for the wave equation [PDF]
, 2013 Wave phenomena appear in a wide range of applications such as full-waveform seismic inversion, medical imaging, or composite materials. Often, they are modeled by the acoustic wave equation.
Stohrer, Christian
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Sensors, 2023 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
Entropy, 2019 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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Multiscale methods for macromolecular simulations [PDF]
Current Opinion in Structural Biology, 2008 In this article we review the key modeling tools available for simulating biomolecular systems. We consider recent developments and representative applications of mixed quantum mechanics/molecular mechanics (QM/MM), elastic network models (ENMs), coarse-grained molecular dynamics, and grid-based tools for calculating interactions between essentially ...
Sherwood, P, Brooks, B, Sansom, MS
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Computation, 2015 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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