Articles with "scale adaptive" as a keyword



Photo from wikipedia

Scale-adaptive turbulence modeling for LES over complex terrain

Sign Up to like & get
recommendations!
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… read more here.

Keywords: scale adaptive; turbulence; stress; les complex ... See more keywords

Scale adaptive correlation tracking based on convolutional features

Sign Up to like & get
recommendations!
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… read more here.

Keywords: scale adaptive; based convolutional; tracking based; adaptive correlation ... See more keywords

Scale-Adaptive Simulation of Transient Two-Phase Flow in Continuous-Casting Mold

Sign Up to like & get
recommendations!
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… read more here.

Keywords: phase; scale adaptive; two phase; phase flow ... See more keywords

Scale-adaptive estimation of mixed geographically weighted regression models

Sign Up to like & get
recommendations!
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… read more here.

Keywords: weighted regression; estimation; scale adaptive; mixed geographically ... See more keywords

A scale adaptive network for crowd counting

Sign Up to like & get
recommendations!
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… read more here.

Keywords: scale adaptive; adaptive network; crowd counting;

A new scale-adaptive hybrid Reynolds-averaged Navier–Stokes and large eddy simulation model considering rotational effect for separated flow predictions

Sign Up to like & get
recommendations!
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… read more here.

Keywords: large eddy; scale adaptive; hybrid reynolds; eddy simulation ... See more keywords
Photo by spacex from unsplash

A hybrid RANS/LES approach with scale-adaptive capabilities for highly separated flows

Sign Up to like & get
recommendations!
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… read more here.

Keywords: approach scale; scale adaptive; rans les; model ... See more keywords

Scale-adaptive salience supervision and dynamic token filtering for small object detection in remote sensing images

Sign Up to like & get
recommendations!
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… read more here.

Keywords: detection; salience; scale adaptive; remote sensing ... See more keywords

Scale Adaptive Attention Network for Accurate Defect Detection From Metal Parts

Sign Up to like & get
recommendations!
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… read more here.

Keywords: detection; defect detection; attention; scale adaptive ... See more keywords

Privacy-Conscious Internet Behavior for Depression Detection with Cross-Scale Adaptive Transformer.

Sign Up to like & get
recommendations!
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… read more here.

Keywords: scale adaptive; cross scale; depression; adaptive transformer ... See more keywords

See as You Desire: Scale-Adaptive Face Super-Resolution for Varying Low Resolutions

Sign Up to like & get
recommendations!
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… read more here.

Keywords: scale adaptive; face super; resolution; scale ... See more keywords