A robust numerical framework for simulating localized failure and fracture propagation in frictional materials
Sign Up to like & getrecommendations! Published in 2017 at "Acta Geotechnica"
DOI: 10.1007/s11440-016-0474-4
Abstract: A computationally robust framework for simulating geomaterial failure patterns is presented in this paper. Finite element simulations which feature the use of embedded discontinuities to track material failure are known to suffer from convergence issues… read more here.
Keywords: fracture; framework; robust numerical; numerical framework ... See more keywords
250. A complete computational framework for simulating and inferring directed neuronal coupling under haemdynamic convolution
Sign Up to like & getrecommendations! Published in 2018 at "Physica Medica"
DOI: 10.1016/j.ejmp.2018.04.261
Abstract: Purpose The use of Multivariate Granger Causality (MVGC) in estimating directed BOLD connectivity is still controversial, mostly because of the intrinsic low temporal resolution of BOLD data and the slow haemodynamic response of the neurovascular… read more here.
Keywords: computational framework; mvgc; bold data; complete computational ... See more keywords
A GPU-accelerated framework for simulating LiDAR scanning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3165746
Abstract: In this work, we present an efficient GPU-based LiDAR scanner simulator. Laser-based scanning is a useful tool for applications ranging from reverse engineering or quality control at an object scale to large-scale environmental monitoring or… read more here.
Keywords: lidar scanning; accelerated framework; gpu accelerated; framework simulating ... See more keywords
A Framework for Simulating Cardiac MR Images With Varying Anatomy and Contrast
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2022.3215798
Abstract: One of the limiting factors for the development and adoption of novel deep-learning (DL) based medical image analysis methods is the scarcity of labeled medical images. Medical image simulation and synthesis can provide solutions by… read more here.
Keywords: contrast; framework simulating; anatomy; image ... See more keywords