For this category we defined "process-based" models as those that incorporated mechanistic and dynamic modeling approaches and "statistical" models as those that were correlational and purely descriptive.
The current state of affairs, reflected in this survey, is that there are quite a number of modeling approaches and software environments for modeling biological systems, but many of them are object-oriented, hindering direct and explicit process modeling, which is at the heart of systems biology.
Furthermore, the applicability of two modeling approaches and the behavior of the proposed model under different model parameters are discussed in detail.
The results of the "AschFlow" model are compared with their results in order to evaluate the two modeling approaches and to make an assessment of the obtained modeling outputs.
In this paper, we adopt a microscopic modeling approach to compensate the demerits of existing modeling approaches, and develop effective traffic prediction models to facilitate congestion prediction and construct proactive RGS based on such prediction.
This section highlights connections between our modeling technique and other state-of-the-art modeling approaches, and shows the principle of the modeling.
The aim is not to be comprehensive but to illustrate modeling approaches and lines of thought that take us beyond purely cognitive models.10.10
However, there is a gap between modeling approaches and empirical studies in that the number and sophistication of theoretical models of dispersal far exceeds our knowledge of actual animal movements.
This study reviews the recent advances of thermoelectric materials, modeling approaches, and applications.
Further observational and modeling approaches and their combinations may help to advance toward dispelling the clouds of uncertainty.
Due to their weaknesses in modeling approaches and variable uses, however, properly constructed and comprehensive analyses are limited.
