In this paper frequency domain techniques are employed to generate a model for GPS noise sources.
The present study was designed to generate a model for deriving utilities from the QoL-AGHDA.
The iTASSER server39 was used to generate a model of TgAMA4 DI-like/DII (Ser31 to Leu491; TGME49_294330) based on a number of characterized apicomplexan AMA structures.
The whole workflow could be to generate a model, to optimize a model, or to configure a model dynamically while it is being executed.
Response surface methodology was implemented with backward stepwise regression to generate a model that best fitted to the experimental data.
Together, these findings were used to generate a model for the evolutionary history of TFIIB-like proteins in eukaryotes.
Hydrodynamic constraints and crystallographic structures were used to generate a model of intact ESCRT-I in solution.
Analyzing gene expression data of 359 breast tumors in The Cancer Genome Atlas (TCGA), the Califano Lab used a well-proven algorithm it developed called ARACNe to generate a model of all molecular interactions in HR-/HER2+ cells.
To analyse the source properties we ran the SAOTrace ray trace code for each source to generate a model point spread function, allowing us to find encircled energy correction factors and estimate source extent.
This study presents an approach where a Dynamic Fuzzy Neural Network (DFNN) is applied to generate a model which can perform dynamically.
Then, the diagrams are used to automatically generate a model of communication subsystem in the Timed Colored Petri Nets (TCPNs) formalism.
