In conclusion, an agent based modeling framework is proposed as an alternative modeling approach to study the complex, non-linear dynamics of acute human inflammation.
A dataflow-based modeling framework for streaming applications integrates models for computational latency, cryptographic security levels, communication latency, and power consumption.
In order to relate the effects of small- to mid-scale riparian state dynamics to land use management goals at a broader, watershed scale, I developed a general, simulation-based modeling framework for riparian landscape dynamics.
This work represents an attempt to begin filling this gap through the development of a systems-based modeling framework for analysis of wind power integration and its impacts on hydropower resources.
Kashif Virk et al. [5] have developed a SystemC-based modeling framework for WSN.
Virk et al. [76] have developed a SystemC-based modeling framework for WSN.
We present a comprehensive neural network based modeling and validation framework for inferring regulatory interactions from temporal gene expression data.
This study proposes a modeling framework for MBC based on preliminary work in which the SO14999 study was simulated using phase II capecitabine data.
Generalised additive models provide a well suited modeling framework for uncovering trends in potentially non-linear multivariate data.
In this chapter, we extend the Target Inhibition Map modeling framework for drug sensitivity prediction and combination therapy design based on drug perturbation experiments to incorporate dynamical behavior.
I present a general diffusion-based modeling framework for the analysis of animal movements in heterogeneous landscapes, including terms representing advection, mortality, and edge-mediated behavior.
