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This kind of model approximates non-linear systems by combining a set of functions local to fuzzy regions described by fuzzy rules.
Thus by combining a set of images obtained at selected photon energies with the NEXAFS spectra of the component materials, the sample chemical composition map is calculated using singular value decomposition50.
She led a team that crafted a strategy for moving BP into alternative energy in a more unified and substantial way, by combining a set of peripheral businesses such as solar, wind, and hydrogen-fired power plants into one new low-carbon-powered unit that BP would invest billions in.
Secondly, the infrastructure provides fault-tolerant scheduling by combining a set of traditional fault tolerance techniques to tolerate crash faults in any component of its infrastructure.
The purpose of compositional modeling is to automatically generate the model of a physical system by combining a set of model components (called model fragments) based on the modeling assumptions.
In this example, two non-stationary signals are generated, x(m) and y(m), by combining a set of non-stationary components in the form of α g sin(2π(f+θ m m) where g is a Gaussian function with mean μ and variance of σ, and the set (α,μ,σ,f,θ) is the parameter for each component (a) to (g).
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A long-oligonucleotide-based chip referred to as SLA-RI/NRSP8-13K was produced by combining a generic set with a newly designed SLA-RI set that targets all annotated loci of the pig major histocompatibility complex (MHC) region (SLA complex) in both orientations as well as immunity genes outside the SLA complex.
Collecting the different microarray data sets for meta-analysis adds a new dimension to gene expression data analysis by combining a large set of experimental conditions [ 14].
Multiple Kernel Learning (MKL) aims to seek a better result than single kernel learning by combining a compact set of sub-kernels.
By combining a large set of empirical GPS trucking data and analytical information of ULN properties from Shenzhen, China, an imputation matrix approach is first developed to classify the truck data, based on trip purposes.
The crustal architecture (down to the Moho) and seismo-stratigraphy of the sedimentary infill are detailed, emphasizing particularly the pre-Messinian series, by combining a new set of offshore deep penetrating seismic, conventional MCS sections, and wide angle seismic data.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
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