His research interests include modelling methodology, system identification, and model reduction, in particular for biological and medical applications.
Commonly employed modeling methodologies using indicators generated from real world data include logistic regression models, artificial neural networks, and other classification algorithms.
This study evaluated the climate effect over time of utilising stumps for bioenergy using ecosystem forest carbon modelling and time-dependent LCA methodology, including uncertainties in soil carbon changes.
These were measured under the constraints of parameter limitation, based on the Monte Carlo searching method and the quadratic model of the response surface methodology, including the a/b value of the Hunter color scale of tomato paste.
Section 3 describes the research methodology including the model construct and the different data types used in this analysis.
The present study is meant for establishing a suitable methodology, including turbulence model selection for simulating the three-phase separation phenomena.
Through adoption of a shared goal, application of improvement methodology including the model for improvement to test new innovations, and promotion of a safety culture in the AAU, cardiac arrests were successfully reduced to <1/1000 admissions per month with an associated significant fall in mortality.
In Section 3.1, the database used for the descriptive and econometric analyses is introduced, followed by Section 3.2 that describes the methodology including the econometric models.
Using program evaluation methodology, including the logic model, proved a successful approach for the development of a program that aimed to integrate internationally educated health professionals into clinical practice.
Other models of design methodology include the waterfall model and spiral model.
