Also, we have shown that the non-laboratory based model, based on body shape index, could predict risk of cardiovascular disease as accurately as one that relied on laboratory-based values among men [ 58].
Based on the underlying concept, incorporating new modelling methods is possible although not done yet (e.g agent-based models based on core components).
The results are also useful for selecting the best model when we must apply mass transfer-based models based on available data.
Here, we generalize the concept of FR, RR, and NR by also including packet header models, bitstream models, and hybrid models together with the pure video-based models based on the amount of reference information used by the models, as suggested in Barkowsky et al. [6].
The main objective of this study is to chronologically collect and review the extensive global solar radiation models available in the literature and to classify them into four categories, i.e., sunshine-based, cloud-based, temperature-based, and other meteorological parameter-based models, based on the employed meteorological parameters as model input.
Two approaches are implemented in developing sequence-based models, based on use of either relative frequencies or counts of n-grams, to generate vectors for representing mutant proteins.
Parameter estimation was carried out using the recently developed conditional inference framework for fitting tree-based models based on permutation tests.
Following this, two types of graphic models based on the same semantic base are presented: Unified Modeling Language (UML) and Agent Modeling Language (AML).
And he must have picked up something from the Impressionists, too, because he developed a system of working outdoors: he made drawings based on bones, then clay models based on the drawings, which he put in the grass or under trees to simulate what the animals might have looked like in natural light.
The low-frequency part they've got, but for the rest had to base their models based on recorded fire sounds and then "paint" them onto the low end.
We adopt a scale-bias adjustment migration strategy for integrating base and new models based on similar nature underlying processes.
