Results 21 to 30 of about 8,931 (261)
Applied Sciences, 2022 Timber has been commonly used in the field of civil engineering, and the health condition of timber is of great significance for the whole structure in practical scenarios.
Shuai Guo +5 more
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Proper generalized decomposition of time‐multiscale models [PDF]
International Journal for Numerical Methods in Engineering, 2011 SUMMARYModels encountered in computational mechanics could involve many time scales. When these time scales cannot be separated, one must solve the evolution model in the entire time interval by using the finest time step that the model implies. In some cases, the solution procedure becomes cumbersome because of the extremely large number of time steps
Ammar, Amine +3 more
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Parameter‐adaptive nighttime image enhancement with multi‐scale decomposition
IET Computer Vision, 2016 As a challenging problem, image enhancement plays an important role in computer vision applications and has been widely studied. As one of the most difficult issues of image enhancement, outdoor nighttime image enhancement suffers from noise ...
Shuhang Wang, Jin Zheng, Bo Li
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On Dynamical Decomposition of Multiscale Oceanic Motions
Journal of Advances in Modeling Earth Systems, 2023 The ocean hosts a variety of fluid motions characterized by contrasting dynamical regimes and spatiotemporal scales. A practical decomposition of multiscale motions in realistic oceanic settings is crucial to advancing dynamical interpretation and ...
Chuanyin Wang, Zhiyu Liu, Hongyang Lin
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Multiscale decompositions on bounded domains [PDF]
Transactions of the American Mathematical Society, 2000 A construction of multiscale decompositions relative to domains Ω
Cohen, A., Dahmen, W., DeVore, R.
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Spectral Segmentation with Multiscale Graph Decomposition
2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005 We present a multiscale spectral image segmentation algorithm. In contrast to most multiscale image processing, this algorithm works on multiple scales of the image in parallel, without iteration, to capture both coarse and fine level details. The algorithm is computationally efficient, allowing to segment large images.
Timothée Cour +2 more
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Tourist Arrival Forecasting Using Multiscale Mode Learning Model
Mathematics, 2022 The forecasting of tourist arrival depends on the accurate modeling of prevalent data patterns found in tourist arrival, especially for daily tourist arrival, where tourist arrival changes are more complex and highly nonlinear.
Kaijian He, Don Wu, Yingchao Zou
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Remote Sensing Image Fusion Based on Adaptively Weighted Joint Detail Injection
IEEE Access, 2018 Remote sensing image fusion based on the detail injection scheme consists of two steps: spatial details extraction and injection. The quality of the extracted spatial details plays an important role in the success of a detail injection scheme.
Yong Yang +4 more
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Nonlinear Fusion of Multispectral Citrus Fruit Image Data with Information Contents
Sensors, 2017 The main issue of vison-based automatic harvesting manipulators is the difficulty in the correct fruit identification in the images under natural lighting conditions.
Peilin Li +3 more
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New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
Advanced Engineering Materials, EarlyView.This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
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