Be flexible
By Linus Maurer, R. Stuhlberger, C. Wicpalek, Günther Haberpeuntner, G. Hueber. IEEE Microwave Magazine, 2008
165 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/c00e9c7125a7fbd492ba56bbf49b21e557b51e84
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In Biomedical Engineering
In Electrical and Electronic Engineering
Citations in the corpus
- Integrating spatial fuzzy clustering with level set methods for automated medical image segmentation (2011, background): “However to employ those methods, clinical radiologists and even engineering practitioners are often overwhelmed by intensive computational requirements and complex regulation of controlling parameters [12].”
- Adaptive numerical algorithms in space weather modeling (2012, methodology): “In some cases the physics-based models can be replaced by an e mpirical model, for example an inner magnetosphere model maybe run in standalone mode using the empirical Tsyga nenko [25] and Weimer [26, 27] models to represent the magnetic field of the magnetosphere and the electric pote ntial of the”
- The deal.II Library, Version 9.5 (2023, methodology): “) Traditionally, these GMGs were based on local-smoothing methods (described many years later in [44, 43], see also [23]), and more recently also global-coarsening algorithms [59].”
- The deal.II finite element library: Design, features, and insights (2019, methodology): “An example is the implementation and optimization of matrix-free methods, and their current incorporation into multigrid methods that scale to very large problems [11].”