Sentence examples for modelling and understanding from inspiring English sources

The coding scheme provides the basis for modelling and understanding communication in collaborative design.

Here we demonstrate the value of community-based ('citizen science') observations for modelling and understanding catchment response as a contribution to catchment science.

We propose two approaches for modelling and understanding the behaviour of high performance computing (HPC) systems relying on hardware monitoring counters.

The different insights brought by different models also make the multiple-model methodology and hybrid modelling approaches desired choices for modelling and understanding the mRNA translation process.

On the one hand, measuring, modelling and understanding demographic changes at the individual and population level are regarded as central to the book.

For this reason, we note the importance of a good coverage of ground-based observatories in the Southern hemisphere and encourage the corresponding agencies to continue with their recording task for the sake of modelling and understanding the global processes related to this branch of geophysics.

It comes as no surprise that many of these technologies are increasingly being combined to generate even more powerful decision-making systems capable of modeling and understanding data, which is becoming increasingly complex, distributed and difficult to understand.

There is growing interest in modeling and understanding spatial species dynamics in advection environments, i.e., environments where individuals are exposed to unidirectional flow or biased dispersal [8].

As an example, all ideas about the exploration, knowledge, modeling and understanding of marine ecosystems were assembled in a major theme called "Dynamics of marine ecosystems" or "C2" in Table 2.

Beyond utility for vector population control, development rate estimates may be useful for modeling and understanding disease transmission.

With ever increasing amount of available data on biological networks, modeling and understanding the structure of these large networks is an important problem with profound biological implications.