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The results were used with a variable aperture channel model to map the aperture distribution.
Here, we apply this model to map species distributions within simple hydrated biofilms.
We propose to use the CPTSM model to map TSM concentrations from satellite data in the ECS.
This is notable since it provides a model to map state variables to progress variables that is a closed model.
We need a fast and accurate model to map the bit-rate and quantization for the rate control.
A partial least squares regression (PLSR) model to map internal soluble solids content (SSC) of apples using visible/near-infrared (VNIR) hyperspectral imaging was developed.
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This uses complex algorithms and mathematical models to map what normal daily behaviour on a network looks like and then flags up anomalies, such as a computer that suddenly starts downloading unusually large data files.
Additionally, using hydrodynamic models to map floodplain over large stream network can be computationally challenging.
The present study uses an ensemble of machine learning models to map the extent of artificially drained areas in Denmark.
Precision agriculture managers are calling for advanced satellite models to map field-scale residue mass and quality.
We use habitat suitability modelling to map the potential spatial distribution of low-intensity farmland, with emphasis on grassland systems.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com