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We conclude that the level of precision at which model inputs are defined would vary with annual rainfall level.
The model inputs are DPDC deposits data, e.g. particle grainsize, layer thickness, particles shape factor and density.
Model inputs are intentionally derived using only publicly available information and assumptions involved in collating the data are discussed.
The two model inputs are the vibration signal at the noise source and the spatial coordinates of the intended point.
The model inputs are consumed in the third workflow, model workflows (Leonard and Duffy, 2014a) that handle distribution of data and model within High Performance Computing (HPC) environments.
To investigate the influence of typhoon characteristics on flood forecasting, four different types of model inputs are designed to yield 1- to 6-h ahead forecasts of runoff.
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In examples without added noise, solutions for the model inputs were found efficiently and accurately.
The model inputs were urban characteristics pertinent to transportation.
Model inputs were extracted from the Post Myocardial Infarction Free Rx Event and Economic Evaluation trial and other published literature.
Model inputs were selected from the available literature, or when none were available, from herd data.
Previously, the probabilistic model inputs were set by experts (using knowledge and in-house data).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com