Your English writing platform
Free sign upSuggestions(5)
Exact(5)
Assessment of uncertainty in land surface models is complex, mainly because of the numerous sources of error from model parameters, initial states, input forcing data, and the model structure.
Providing accurate software effort prediction models is complex but necessary for the software industry (Moløkken and Jørgensen 2003).
Naming these women as leaders and role models is complex.
Creating these types of models is complex because of the huge number of interacting elements involved.
Unfortunately, since modeling non-linear relationships in regression models is complex, many studies have failed to do so, and the studies that have examined non-linear relationships between biochemical measures and mortality often have not provided results in a format amenable to a traditional meta-analysis.
Similar(55)
Simulation models are complex and difficult to build and run.
The resulting process models are complex and simplifications may be needed in practical applications.
While combined models are complex, they can be programmed using modern statistical software.
Rigorous models are not suitable for synthesis and design as the models are complex and difficult to solve.
Reactive transport models are complex nonlinear Partial Differential Algebraic Equations (PDAE), coupling the transport engine with the geochemical operator.
Physically based hydrological models are complex tools that provide a complete description of the different processes occurring on a catchment.
More suggestions(15)
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