Computationally efficient multiscale neural networks applied to fluid flow in complex 3D porous media
The permeability of complex porous materials is of interest to many engineering disciplines.
This quantity can be obtained via direct flow simulation, which provides the most accurate …
This quantity can be obtained via direct flow simulation, which provides the most accurate …
Current directions in combining simulation-based macromolecular modeling approaches with deep learning
VK Mulligan - Expert Opinion on Drug Discovery, 2021 - Taylor & Francis
Introduction: Structure-guided drug discovery relies on accurate computational methods for
modeling macromolecules. Simulations provide means of predicting macromolecular folds …
modeling macromolecules. Simulations provide means of predicting macromolecular folds …
Mutual use of semantics and geometry for CNN-based object localization in ToF images
A Vanderschueren, V Joos… - Pattern Recognition. ICPR …, 2021 - Springer
We propose a novel approach to localize a 3D object from the intensity and depth
information images provided by a Time-of-Flight (ToF) sensor. Our method builds on two …
information images provided by a Time-of-Flight (ToF) sensor. Our method builds on two …