The phrase "advanced modelling" is correct and usable in written English.
It can be used in contexts related to complex simulations, data analysis, or design processes that require sophisticated techniques or methodologies.
Example: "The research team utilized advanced modelling to predict climate change impacts on local ecosystems."
Alternatives: "sophisticated modeling" or "complex modeling".
By applying advanced CAx systems and advanced modelling techniques such as a Generative Modelling, it is possible to design, manufacture and release products onto the market in an easy and fast way.
Improvements in the horizontal resolution of global ocean models, motivated by the horizontal resolution requirements for specific flow features, has advanced modelling capabilities into the dynamical regime dominated by mesoscale variability.
After he graduated with a Master of Arts in Architecture degree from the Academy of Fine Arts and Design in Bratislava in Slovakia, he founded a design research platform Peter Buš | Architecture | Computational Design | Research, where he explores the usage of generative computer coding and advanced modelling techniques for architecture and urban environments.
The model combines advanced modelling techniques in transport generation and assignment, economic activity, trade, logistics, regional development and environmental impacts.
Large eddy simulations (LES) using advanced modelling approaches related to thermophysical, turbulence and combustion modelling are presented and their advantages when compared to some of the standard models used in the fire community are analyzed.
This advanced modelling approach provides specialised interpretations of a product for different development phases, by means of so-called feature views, and ways to keep these interpretations consistent, i.e. to make sure that they all represent the same product.
This information is processed on a platform (Predix) using advanced modeling techniques.
Present day advanced modeling of mechanical systems do not involve techniques for this purpose.
"Neural networks are advanced modeling techniques, which are capable of modeling complex functions.
She learned a lot about statistics, algorithms, risk analytics, data science, text analytics, advanced modeling techniques, visualization, and so on.
New advanced models and formulations are constantly proposed.
