https://www.salzburgresearch.at/publikation/machine-learning-assisted-optimization-of-5g-network-parametrization/
Machine Learning Assisted Optimization of 5G Network Parametrization - Salzburg Research...
Sep 29, 2025 - In this work, we present the use of classical Machine Learning algorithms during our investigation of data rates achievable by individual clients in a mobile ne
machine learningsalzburg researchassistedoptimizationnetwork
https://hess.copernicus.org/articles/25/5287/2021/hess-25-5287-2021-assets.html
HESS - Assets - A hydrography upscaling method for scale-invariant parametrization of distributed...
Abstract. Distributed hydrological models rely on hydrography data such as flow direction, river length, slope and width. For large-scale applications, many of...
scale invarianthessassetshydrographyupscaling
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https://portal.fis.tum.de/en/publications/utilizing-data-driven-optimization-to-automate-the-parametrizatio/
Utilizing Data-Driven Optimization to Automate the Parametrization of Kinetic Monte Carlo Models -...
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https://www.typhoon-hil.com/documentation/typhoon-hil-software-manual/References/fiber_optic_input_card_parametrization.html
Fiber Optic Input Card parametrization
Description of the set of parameters for the Fiber Optic Input Card in the HIL Connect Interface component.
fiber opticinputcardparametrization
https://events.ecmwf.int/event/275/overview
Training course: Parametrization of subgrid physical processes (March 28, 2022 - April 1, 2022):...
This training course was held virtually. This five-day course is a combination of lectures, hands-on practicals using the Single Column Model, and group...
training courseparametrizationsubgridphysicalprocesses