Sentence examples for models which requires from inspiring English sources

However, we recognize that the current process of developing computational models, which requires extensive modeling expertise and intensive collaboration between biologists and computational experts, cannot sufficiently scale to meet the needs we have identified.

The value of flexibility is typically modelled using stochastic scenario extensions of dispatch models which requires, as a first step, understanding the nature of forecast uncertainties.

However, CAs on SLS cannot be well explained by three existing wetting models, which requires more efforts to exactly depict the droplet behavior on SLS.

It then must translate this data advantage into an intelligence advantage as measured by the capabilities of its machine learning models, which requires that its models be as or more efficient than those of its competitors.

Existing SOC methods rely on known process models and are developed based on linearization of original nonlinear process models, which requires rigorous knowledge of the plant and may result in large losses due to the locality inherited from linearization.

This dichotomy of approach has persisted and been perpetuated despite modern biology's increasing embrace of computational analysis and quantitative models which requires the need for developing a system to handle the flood of data, for quantitating the distinctive behaviors and evaluating their statistical significance.

Therefore, we may consider the model as being complementary to other ring current models which require less computational resources.

One example - researchers at Oxford's Institute for New Economic Thinking are using the system to build economic models which require many millions of entities and interactions to be effective.

The models used (IPCC TAR and AR4) are extremely complex global models which require very large numbers of runs to develop predictions.

However, to have better resolution of stress changes, we definitely need detail and correct finite source fault models, which require human insight and inputs into the system.

The Box-Behnken design for the three factors offers fewer experimental runs as compared with that of central composite models, which require 20 runs (Box et al. 1967).