19 citations · 33 across the 7 of their papers we have counts for
7 papers
Using the Order of Tomographic Slices as a Prior for Neural Networks Pre-Training
Yaroslav Zharov, Alexey Ershov, Tilo Baumbach +1
The technical advances in Computed Tomography (CT) allow to obtain immense amounts of 3D data. For such datasets it is very costly and time-consuming to obtain the accurate 3D segm…
Hierarchical surrogate-based Approximate Bayesian Computation for an electric motor test bench
David N. John, Livia Stohrer, Claudia Schillings +2
Inferring parameter distributions of complex industrial systems from noisy time series data requires methods to deal with the uncertainty of the underlying data and the used simula…
A Simple Model for Portable and Fast Prediction of Execution Time and Power Consumption of GPU Kernels
Lorenz Braun, Sotirios Nikas, Chen Song +2
Characterizing compute kernel execution behavior on GPUs for efficient task scheduling is a non-trivial task. We address this with a simple model enabling portable and fast predict…
Dielectrophoretic force-driven convection in annular geometry under Earth's gravity
Torsten Seelig, Antoine Meyer, Philipp Gerstner +5
Context: A radial temperature gradient together with an inhomogeneous radial electric field gradient is applied to a dielectric fluid confined in a vertical cylindrical annulus ind…
Multilevel preconditioner of Polynomial Chaos Method for quantifying uncertainties in a blood pump
Chen Song, Vincent Heuveline
More than 23 million people are suffered by Heart failure worldwide. Despite the modern transplant operation is well established, the lack of heart donations becomes a big restrict…
Benchmarking in a rotating annulus: a comparative experimental and numerical study of baroclinic wave dynamics
Miklos Vincze, Sebastian Borchert, Ulrich Achatz +11
The differentially heated rotating annulus is a widely studied tabletop-size laboratory model of the general mid-latitude atmospheric circulation. The two most relevant factors of…
Adaptive boundary conditions for exterior stationary flows in three dimensions
Vincent Heuveline, Peter Wittwer
Recently there has been an increasing interest for a better understanding of ultra low Reynolds number flows. In this context we present a new setup which allows to efficiently sol…