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Published in 2020 at "Engineering With Computers"
DOI: 10.1007/s00366-020-01190-w
Abstract: The large-eddy simulation (LES) is an efficient method for the study of atmospheric boundary layer (ABL) flow over complex terrain. However, the robustness of LES is influenced by dynamics methods for the subgrid-scale stress, which…
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Keywords:
scale adaptive;
turbulence;
stress;
les complex ... See more keywords
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Published in 2019 at "Wireless Networks"
DOI: 10.1007/s11276-017-1655-2
Abstract: In recent years, several correlation tracking algorithms have been proposed exploiting hierarchical features from deep convolutional neural networks. However, most of these methods focus on utilizing the hierarchical features for target translation and use a…
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Keywords:
scale adaptive;
based convolutional;
tracking based;
adaptive correlation ... See more keywords
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Published in 2018 at "Metallurgical and Materials Transactions B"
DOI: 10.1007/s11663-018-1443-0
Abstract: Scale-adaptive simulation (SAS) of the transient gas–liquid two-phase flow in a laboratory-scale continuous-casting mold is presented. The main objective is to investigate the applicability of the scale-adaptive unsteady Reynolds-averaged Navier–Stokes turbulent model (URANS SAS) for…
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Keywords:
phase;
scale adaptive;
two phase;
phase flow ... See more keywords
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Published in 2021 at "Economic Modelling"
DOI: 10.1016/j.econmod.2020.02.015
Abstract: Abstract Mixed geographically weighted regression (GWR) models, a combination of linear and spatially varying coefficient models, have found their applications in a variety of disciplines including economic modelling for geo-referenced data analysis. Generally, different explanatory…
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Keywords:
weighted regression;
estimation;
scale adaptive;
mixed geographically ... See more keywords
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Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.07.032
Abstract: Abstract Scale variations occur frequently and present a great challenge for crowd counting in practical applications. In this paper, we propose a scale adaptive network to address the scale variation problem for crowd counting. We…
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Keywords:
scale adaptive;
adaptive network;
crowd counting;
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Published in 2019 at "International Journal of Computational Fluid Dynamics"
DOI: 10.1080/10618562.2019.1566534
Abstract: ABSTRACT A new hybrid RANS/LES approach with scale-adaptive capabilities is developed. The blending function in the SST model is adopted to prevent the invasion of the von Karman length scale to the RANS region, and…
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Keywords:
approach scale;
scale adaptive;
rans les;
model ... See more keywords
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Published in 2019 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2017.2768570
Abstract: Convolutional neural networks can efficiently exploit sophisticated hierarchical features which have different properties for visual tracking problem. In this paper, by using multilayer convolutional features jointly and constructing a scale pyramid, we propose an online…
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Keywords:
visual tracking;
scale adaptive;
convolutional features;
multilayer convolutional ... See more keywords
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Published in 2021 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2020.3028401
Abstract: Template matching in unconstrained environment with complex deformation, occlusion, and background clutter is a challenging task. Recently, some measures which are robust to outliers were presented, however, they fix the window size and thus cannot…
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Keywords:
scale adaptive;
template matching;
template;
similarity ... See more keywords
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Published in 2022 at "International Journal of Advanced Robotic Systems"
DOI: 10.1177/17298806221076978
Abstract: Many robot manipulation processes involve large visual range variation between the hand-eye camera and the object, which in turn causes object scale change of a large span in the image sequence captured by the camera.…
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Keywords:
large visual;
pose tracking;
region;
scale adaptive ... See more keywords
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Published in 2020 at "EURASIP Journal on Image and Video Processing"
DOI: 10.1186/s13640-020-0496-6
Abstract: The methods combining correlation filters (CFs) with the features of convolutional neural network (CNN) are good at object tracking. However, the high-level features of a typical CNN without residual structure suffer from the shortage of…
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Keywords:
scale adaptive;
occlusion detection;
object tracking;
adaptive object ... See more keywords
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Published in 2023 at "Optics letters"
DOI: 10.1364/ol.487477
Abstract: We present a scale-adaptive three-dimensional (3D) imaging architecture for coherent light detection and ranging (lidar) that incorporates Risley-prism-based beam scanning. An inverse design paradigm from beam steering to prism rotation is developed for demand-oriented beam…
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Keywords:
scale;
adaptive three;
prism;
scale adaptive ... See more keywords