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pro vyhledávání: '"Gratl A"'
Recent advances in modeling density distributions, so-called neural density fields, can accurately describe the density distribution of celestial bodies without, e.g., requiring a shape model - properties of great advantage when designing trajectorie
Externí odkaz:
http://arxiv.org/abs/2305.19698
Publikováno v:
Water Science and Technology, Vol 90, Iss 3, Pp 878-893 (2024)
Urban infrastructure, important for societal functioning, faces challenges from aging assets and increasing service demands. Traditional asset management practices, often conducted in silos, fail to address the interconnected nature of these systems,
Externí odkaz:
https://doaj.org/article/57974b2325a949b68a8e48ae399605e8
Autor:
Spyros Pritsis, Vincent Pons, Marius Møller Rokstad, Francois H. L. R. Clemens-Meyer, Manfred Kleidorfer, Franz Tscheikner-Gratl
Publikováno v:
Water Science and Technology, Vol 90, Iss 3, Pp 920-934 (2024)
Even though it has been established that a hyetograph's shape affects the results of hydrological simulations, common engineering practice does not always account for this fact. Instead, a single design storm is often considered sufficient for design
Externí odkaz:
https://doaj.org/article/c77ff2d0d98248cd9cd0484e7caaf7ae
Autor:
Shamsuddin Daulat, Bardia Roghani, Jeroen Langeveld, Marius Møller Rokstad, Franz Tscheikner-Gratl
Publikováno v:
Water Science and Technology, Vol 90, Iss 1, Pp 168-189 (2024)
Co-located infrastructure networks such as road, water, and sewer in theory offer the possibility for integrated multi-infrastructure interventions. However, how closely these networks are aligned in space and time determines the practical extent to
Externí odkaz:
https://doaj.org/article/844a4e567ed54be19f3970c1ced0887d
Autor:
Vincent Pons, Merethe Strømberg, Godecke-Tobias Blecken, Franz Tscheikner-Gratl, Maria Viklander, Tone Merete Muthanna
Publikováno v:
Water Science and Technology, Vol 90, Iss 1, Pp 398-412 (2024)
In this study, we show that pollutants of emerging concern are, by nature, prone to the emergence of epistemic uncertainty. We also show that the current uncertainty quantification methods used for pollutant modelling rely almost exclusively on param
Externí odkaz:
https://doaj.org/article/b5f2607b8e83402387093362cb3afb3b
Numerical simulations are at the center of predicting the space debris environment of the upcoming decades. In light of debris generating events, such as continued anti-satellite weapon tests and planned mega-constellations, accurate predictions of t
Externí odkaz:
http://arxiv.org/abs/2203.06957
Towards transferable metamodels for water distribution systems with edge-based graph neural networks
Publikováno v:
In Water Research 1 September 2024 261
Autor:
Wippel, David, Westreicher, Werner, Gummerer, Maria, Kluckner, Michaela, Ouaret, Miar, Lamprecht, Fabian, Grams, Astrid, Gratl, Alexandra, Wipper, Sabine
Publikováno v:
In Annals of Vascular Surgery December 2024 109:266-272
Publikováno v:
In Water Research 15 June 2024 257
Autor:
Bulat Kerimov, Roberto Bentivoglio, Alexander Garzón, Elvin Isufi, Franz Tscheikner-Gratl, David Bernhard Steffelbauer, Riccardo Taormina
Publikováno v:
Journal of Hydroinformatics, Vol 25, Iss 6, Pp 2223-2234 (2023)
Metamodels accurately reproduce the output of physics-based hydraulic models with a significant reduction in simulation times. They are widely employed in water distribution system (WDS) analysis since they enable computationally expensive applicatio
Externí odkaz:
https://doaj.org/article/e6dc167defd54b20ba72810db82e213f