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Coronary CT Angiography-derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling.

Radiology, 2018
Purpose To compare two technical approaches for determination of coronary computed tomography (CT) angiography-derived fractional flow reserve (FFR)-FFR derived from coronary CT angiography based on computational fluid dynamics (hereafter, FFRCFD) and ...
C. Tesche   +15 more
semanticscholar   +1 more source

Verba volant, scripta volant? Don’t worry! There are computational solutions for protoword reconstruction

Conference on Empirical Methods in Natural Language Processing
We introduce a new database of cognate words and etymons for the five main Romance languages, the most comprehensive one to date. We propose a strong benchmark for the automatic reconstruction of protowords for Romance languages, by applying a set of ...
L. Dinu   +6 more
semanticscholar   +1 more source

Computational analysis of natural convection in a nano-encapsulated phase change material-water-filled porous cavity with a tilted elliptical heater and corrugated cold wall using finite element method

International Journal of Numerical Methods for Heat & Fluid Flow
This study aims to numerically explore natural convection and latent heat transfer in a square porous cavity filled with a H2O/nano-encapsulated phase change material (NEPCM) mixture.
A. Daiz   +5 more
semanticscholar   +1 more source

Study of the effect of wind direction on ship helideck using computational fluid dynamics

International Journal of Mechanical Computational and Manufacturing Research
The safety and aerodynamic stability of a ship's helideck is a crucial factor in maritime flight operations, especially in variable wind conditions. One of the main challenges is the interaction between the airflow and the ship's structure which can ...
AH Fauzi Fauzi, N. Silalahi
semanticscholar   +1 more source

SpecVLM: Enhancing Speculative Decoding of Video LLMs via Verifier-Guided Token Pruning

Conference on Empirical Methods in Natural Language Processing
Video large language models (Vid-LLMs) have shown strong capabilities in understanding video content. However, their reliance on dense video token representations introduces substantial memory and computational overhead in both prefilling and decoding ...
Yicheng Ji   +6 more
semanticscholar   +1 more source

Legendre moments as high performance bone biomarkers: computational methods and GPU acceleration

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2016
José A. Lachiondo   +3 more
semanticscholar   +1 more source

Computational Methods in Heterogeneous Catalysis

Chemical Reviews, 2021
Benjamin W J Chen   +2 more
exaly  

Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems

Chemical Reviews, 2021
John A Keith   +2 more
exaly  

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