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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 2025 at "Physics of Fluids"
DOI: 10.1063/5.0272228
Abstract: Hybrid Reynolds-averaged Navier–Stokes (RANS) and large eddy simulation (LES) methods, abbreviated as hybrid RANS-LES, have garnered increasing attention due to their balanced integration of RANS' computational economy and LES' resolution fidelity. In this study, a…
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Keywords:
large eddy;
scale adaptive;
hybrid reynolds;
eddy simulation ... See more keywords
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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 2024 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/ad90ff
Abstract: Recently, DETR-like detectors, which have shown remarkable performance in general object detection, face limitations when dealing with remote sensing images primarily containing small objects. Mainstream two-stage DETR-like models employ a pipeline that selects and processes…
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Keywords:
detection;
salience;
scale adaptive;
remote sensing ... See more keywords
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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3432660
Abstract: Metal component defect detection plays an important role in industrial manufacturing. However, it is a challenging task to detect defects from the metal component surface due to these problems: 1) Some defects are small and…
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Keywords:
detection;
defect detection;
attention;
scale adaptive ... See more keywords
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Published in 2025 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2025.3572118
Abstract: Depression remains a leading cause of suicide among college students, highlighting the need for effective and scalable screening methods. Internet usage behavior has shown strong potential for identifying depressive tendencies, but privacy concerns limit its…
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Keywords:
scale adaptive;
cross scale;
depression;
adaptive transformer ... See more keywords
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Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2024.3492716
Abstract: Face super-resolution (FSR) is critical for bolstering intelligent security in Internet of Things (IoT) systems. Recent deep learning-driven FSR algorithms have attained remarkable progress. However, they always require separate model training and optimization for each…
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Keywords:
scale adaptive;
face super;
resolution;
scale ... See more keywords