Results 271 to 280 of about 541,916 (384)

Quantifying physiological variability and improving reproducibility in 4D‐flow MRI cerebrovascular measurements with self‐supervised deep learning

open access: yesMagnetic Resonance in Medicine, EarlyView.
Abstract Purpose To assess the efficacy of self‐supervised deep learning (DL) denoising in reducing measurement variability in 4D‐Flow MRI, and to clarify the contributions of physiological variation to cerebrovascular hemodynamics. Methods A self‐supervised DL denoising framework was trained on 3D radially sampled 4D‐Flow MRI data.
Brock W. Jolicoeur   +5 more
wiley   +1 more source

Optimization Study on Battery Thermal Management System With Coupled Air and Microchannel Liquid Cooling Strategy

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Because of the surging demand for clean energy, the performance and safety of lithium‐ion batteries (LIBs) for energy storage and conversion have received much attention. This study presents a battery thermal management system (BTMS) that combines air cooling with microchannel liquid cooling.
Xiaolu Yuan   +4 more
wiley   +1 more source

Use of proper orthogonal decomposition and machine learning for efficient blood flow prediction in cerebral saccular aneurysms. [PDF]

open access: yesSci Rep
Rajhi W   +7 more
europepmc   +1 more source

Compressor CFD simulation method development : A CFD study

open access: yes, 2018
This master thesis project consisted of three parts that all were performed through CFD simulations with the purpose to develop Scania's methods in the subject of CFD. All parts included simulations on Scania's SC92T70 centrifugal compressor. Part one consisted of performing a mesh study for the purpose of reliability, to investigate the convergence of
openaire   +1 more source

A Data‐Driven Approach to Integrated Adaptive Morphing and Guidance for Cruise Missiles

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT To address the complex coupling between aerodynamic characteristics and guidance control for morphing flight missiles, this study proposes a data‐driven approach to integrated adaptive morphing and guidance. Firstly, an aerodynamic surrogate model is constructed using a fully connected neural network (FCNN), mapping the configuration ...
Ming‐Yu Wu   +6 more
wiley   +1 more source

Data‐Driven Detection of Internal Erosion Initiation in Gap‐Graded Soils: Combining Particle‐Scale CFD‐DEM Simulation With 3D Convolutional Autoencoder

open access: yesInternational Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT Internal erosion in gap‐graded soils poses significant risks to water‐retaining structures such as earth dams. However, its underlying mechanisms at the particle scale remain poorly understood. This study couples the discrete element method (DEM) with computational fluid dynamics (CFD) to simulate internal erosion in gap‐graded soil assemblies
Jie Qi   +3 more
wiley   +1 more source

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