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Bridging molecular-scale interfacial science with continuum-scale models
Limitation of super-resolution machine learning approach to precipitation downscaling
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Effect of particularisation size on the accuracy and efficiency of a multiscale tumours' growth model
Large-scale physically accurate modelling of real proton exchange membrane fuel cell with deep learning
A neural-mechanistic hybrid approach improving the predictive power of genome-scale metabolic models
Pore Network Model Predictions of Darcy-Scale Multiphase Flow Heterogeneity Validated by Experiments
Microscopic pore controls on seepage behavior in varied coal structures based on dual-scale digital core analysis
Royal Enfield Classic 350 Scale Models Go On Sale
Enhanced brain tumor segmentation in medical imaging using multi-modal multi-scale contextual aggregation and attention fusion
Accurate segmentation of brain tumors from multi-modal MRI scans is critical for diagnosis, treatment planning, and disease monitoring.
Bridging molecular-scale interfacial science with continuum-scale models
To bridge the molecular knowledge and predictive continuum-scale models, we propose to represent surface properties with probability distributions.
Limitation of super-resolution machine learning approach to precipitation downscaling
The present study explores the potential of super-resolution machine learning (ML) models for precipitation downscaling from 100 to 12.5 km...
Clear Plastic Folding Display Box – 162x32x46 Mm – Perfect For Model Trailers 1:87 Scale & Small Collectibles
Clear Front Folder Clear Plastic Folding Display Box – 162x32x46 Mm – Perfect For Model Trailers 1:87 Scale & Small Collectibles Clear Bag.
Effect of particularisation size on the accuracy and efficiency of a multiscale tumours' growth model
In silico, medicine models are frequently used to represent a phenomenon across multiples space–time scales. Most of these multiscale models...
Large-scale physically accurate modelling of real proton exchange membrane fuel cell with deep learning
This generalisable approach unveils multi-scale water clustering and transport mechanisms over large dry and flooded areas in the gas diffusion layer and flow...
A neural-mechanistic hybrid approach improving the predictive power of genome-scale metabolic models
We show how hybrid neural-mechanistic models can serve as an architecture for machine learning providing a way to improve phenotype predictions.
Pore Network Model Predictions of Darcy-Scale Multiphase Flow Heterogeneity Validated by Experiments
In this study, we evaluate the ability of pore network models (PNMs) to characterize multiphase flow heterogeneity at the millimeter scale.
Microscopic pore controls on seepage behavior in varied coal structures based on dual-scale digital core analysis
Tectonic deformation induces multiscale modifications in the pore–fracture morphology of coal, fundamentally altering its seepage behavior.
Royal Enfield Classic 350 Scale Models Go On Sale
Royal Enfield's scale models are one of the most popular collectibles for bike enthusiasts in India.
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