Results 241 to 250 of about 93,551 (286)

Assessing spatial variability and source identification of heavy metals in agricultural soils: A geostatistical and multivariate analysis of coastal eastern Zhejiang, China. [PDF]

PLoS One
Ji J, Wu X.
europepmc   +1 more source

Seroprevalence, spatial clustering, and gender-associated risk factors of porcine cysticercosis in backyard pigs from the high Andean region of Perú: A One Health approach. [PDF]

Vet World
Pomé AAV, Serruto MEP, Paredes WMQ, Cáceres CO, Warthon NV.   +4 more
europepmc   +1 more source

Filling gaps in PM2.5 time series: A broad evaluation from statistical to advanced neural network models. [PDF]

PLoS One
Safarov R, Shomanova Z, Nossenko Y, Kopishev E, Bexeitova Z, Kamatov R.   +5 more
europepmc   +1 more source

Resampling Multi-Resolution Signals Using the Bag of Functions Framework: Addressing Variable Sampling Rates in Time Series Data. [PDF]

Sensors (Basel)
Salazar Torres DO, Altinses D, Schwung A.   +2 more
europepmc   +1 more source

Box-meter integrated solution for power data imputation through device design and deep learning integration. [PDF]

Sci Rep
Gao C, Lin H, Lin Y.
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Multivariate rational interpolation

Computing, 1985
The problem of approximating a multivariate function by interpolatory functions is not an easy one. Many papers have already been published on the subject of polynomial interpolation and also on the subject of multivariate Padé approximation. But the problem of multivariate rational interpolation has only recently been considered.
Cuyt, Annie A.M., Verdonk, B.M.
openaire   +3 more sources

A multivariate Powell–Sabin interpolant

Advances in Computational Mathematics, 2007
The problem of constructing a \({C}^{1}\) piecewise quadratic interpolant to positional and gradient data defined at the vertices of a tessellation of \(n\)-simplices in \(\mathbb R^{n}\) is approached. The authors propose for the interpolation scheme to split the \(n\)-simplices in an appropriately tessellation such that subdivision points satisfy ...
Tatyana Sorokina, Andrew J. Worsey
openaire   +1 more source

Multivariate Perpendicular Interpolation

SIAM Journal on Numerical Analysis, 1985
One of the really important problems of multivariate approximation theory is the one of interpolating to a large number of scattered data. Applications include the modeling of physical phenomena involving space and time coordinates and the computer aided design (CAD) of geometric objects.
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