In this paper, we introduce some operations on a fuzzy neutrosophic soft set ((mathfrak{fns} -set) by utilizing the theories of fuzzy sets, soft sets and neutrosophic sets.
Increasing the dimensionality of the features can also aid a training set by utilizing other properties of a trace, e.g., using power measurements along with frequency measurements.
A power law model was firstly set up by utilizing the effect of shear rates on the medium viscosities, and the coefficients of the power law would be found by solving the algebraic equation from the relations between the shear rates and viscosities.
Prior to data analysis, all high throughput sequencing data were first separated into individual data sets by utilizing the barcodes associated with each experiment, and the data were normalized as described in the Methods.
The membership functions and fuzzy rules of the DRC are set such that by utilizing the same output fuzzy set for all the controllers, dynamic prioritization is achieved between the delay-sensitive and best-effort traffic.
In this method, all rigid and flexible-interface co-ordinates are eliminated from the final set of system equations by utilizing the interface compatibilities.
In this method, all rigid and flexible-interface co-ordinates are eliminated from the final set of system equations by utilizing the interface compatibility ties.
In this method, all flexible-interface co-ordinates are eliminated from the final set of system equations by utilizing the interface-force compatibilities.
Specifically, this analysis is performed by utilizing the set of growth-associated genes derived from the train-set to build the models of the test-set, where the correlation between measured and predicted proliferation rates is then evaluated.
We identified the porcine pre-miRNA in genome-wide through computational approaches by utilizing the data sets of pigs and set up the porcine pre-miRNAs library which may provide us a global scanning on the pre-miRNAs of pigs in genome level and would benefit subsequent experimental research on porcine miRNA functional and expression analysis.
