Your English writing platform
Discover LudwigSuggestions(2)
Similar(60)
For the thin coatings, energy based models have been shown to be effective.
Several band by band Total Variation TV -regularized low rank based models have been proposed for HSI mixed denoising.
Artificial neural network (ANN) based models have been used for this purpose.
In order to provide these features new complex network based models have been proposed recently.
Over the years, several hydrological models ranging from empirical relationships to physically based models have been developed for the prediction of runoff and sediment yield.
In past, a number of target based models have been developed using QSAR and docking [12 16] for identification of novel inhibitors against M.tb.
Several building physics based models have been developed in the UK over a number of years to estimate the current and future residential demand.
Physically based models have been developed to analyze the impacts of preferential water flow (PF) and physical non-equilibrium (PNE) solute transport on soil and water resources.
Despite this complexity, process-based based models have been successfully fitted to several tree species using calibrated parameter values (Wang et al. [2013]; Campoe et al. [2013]; Perez-Cruzado et al. [2011]; Rodriguez et al. [2009]; Almeida et al. [2004a]).
A number of building physics based models have been developed in the past and some of the notable include Building Research Establishment's Housing Model for Energy Studies (Shorrock and Dunster, 1997); UK Domestic Carbon Model (Boardman et al. 2005) and Community Domestic Energy Model (Firth et al. 2010).
Propagation based models have been previously shown to be effective in network based functional annotation of proteins [ 22].
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com