A geographic information system (GIS) based methodology was developed for mapping recreation terrain suitability using recreation terrain suitability indices (RTSI).
In this regard, the proposed LLNFM-based methodology reached better results for running-times, as well as root mean square error (RMSE) estimations in learning and testing processes of training/checking data-set in comparison with those of the proposed adaptive neuro-fuzzy inference system (ANFIS) based methodology.
Although we used ESCC as a model, the developed system biology based methodology has a potential to identify hormone responsive genes using other hormone-affected diseases, and provides a framework for identifying hormone responsive genes based on complex diseases.
The purpose of this study is to present a system-theoretic based methodology and corresponding model for Enterprise Architecture development.
For the analysis of change influences within the system, a SysML based methodology is provided, while the other lifecycle phases are equipped with checklists that support an expert estimation.
In brief, these systems biology based methodologies were developed to identify key regulators of the observed transcriptional profile after constructing molecular networks on the basis of prior protein protein interaction knowledge.
A filter based methodology, studied earlier for SISO systems, is extended to MIMO systems.
To test this hypothesis we decided to use the RNAi based methodology combined with the UAS/GAL4 system (Duffy, 2002) to specifically knockdown the genes of interest in hemocytes.
Here we expand on our process systems engineering-based methodology for the initial evaluation of alternative thermochemical cycles for hydrogen production.
Here we present and demonstrate a process systems engineering-based methodology for the initial evaluation of thermochemical cycles for hydrogen production.
