Anesthesia characteristic of an algorithm of bupivacaine dose based on height in caesarean section under spinal anesthesia: a retrospective cohort studyAnesthesia characteristicAnesthesiaspinalBupivacaineCesarea
Among them, the classification model or function can be learned from a group of training sample data (whose category and attribution are known) through the classification mining algorithm to obtain its representation in various forms, such as decision tree, classification rules, neural network, or ...
More precisely, with respect to the particular matching algorithm a feature with strong permanence should be fairly invariant over time. 4. Measurability: The ease of obtaining or calculating the attribute is represented by measurability or collectability. In addition, the data obtained should enable...
Given a non-zero polynomial $f$ in a polynomial ring $R$ with coefficients in a finite field of prime characteristic $p$, we present an algorithm to compute a differential operator $\\delta$ which raises $1/f$ to its $p$th power. For some specific families of polynomials, we also ...
C. Jost: An algorithm for computing the topological Euler characteristic of complex projective varieties. arXiv:1301.4128, 2013.C. Jost, An algorithm for computing the topological Euler characteristic of complex projective varieties (2013). arXiv:1301.4128....
an explicit relationship, however, a recursive algorithm is required in order to obtain these coefficients51. In addition, the HOSIDFs method introduces a “virtual harmonic generator” which may unintentionally disguise the relation between the Fourier spectrum and the physical parameters of the ...
The classical approach, which characterizes eigenvalues as roots of the characteristic polynomial, is actually reversed. If A is an n-by-n matrix, poly(A) produces the coefficients p(1) through p(n+1), with p(1) = 1, in det(λI−A)=p1λn+…+pnλ+pn+1 . The algorithm is ...
An algorithm is proposed to determine the optimal number of repeat inspections and sequence characteristics for inspection that minimizes the expected total cost. The expected total cost consists of the cost of false acceptance (cost of Type II error), cost of false rejection (cost of Type I ...
largest component as large. This allowed us to confirm the power law of its degree distribution and scale freeness to be fit for the hyperbolic model. Reproducibility on repeated embedding was tested in an exemplary case with repeated embedding with the Mercator algorithm33,34(Supplementary Fig.1...
performing fusion through weighted addition. This strategy is a straightforward process that combines the Minimum Pixel Value algorithm, Maximum Pixel Value Technique, Averaging method, and Simple Block Replace algorithm.Table 2lists the various SDIF approaches, along with their advantages and disadvantages...