Results 231 to 240 of about 958,747 (333)
Multivariate Interpolation and Standard Bases for Macaulay Modules
Luigi Cerlienco, Marina Mureddu
openalex +1 more source
No spectral dataset is perfect, but how severely will imperfection cost you? This study finds that CNNs are more robust against spectral errors than SVMs, particularly with data that exhibits day‐to‐day calibration‐type errors. However, when no artefacts are present, the SVM produces the best model.
Mitchell Chalmers+3 more
wiley +1 more source
Kolmogorov GAM Networks Are All You Need! [PDF]
Polson S, Sokolov V.
europepmc +1 more source
Composite schemes for multivariate blending rational interpolation
Jieqing Tan, Shuo Tang
openalex +1 more source
Objectives High‐intensity focused ultrasound (HIFU) has demonstrated efficacy as a non‐invasive treatment for uterine fibroids, though individual variability exists. This study aims to develop a risk scoring model using clinical and biochemical features to predict HIFU treatment outcomes.
Huiqing Li+6 more
wiley +1 more source
Estimation of Flood Inundation Area Using Soil Moisture Active Passive Fractional Water Data with an LSTM Model. [PDF]
Febrian RD, Kim W, Lee Y, Kim J, Choi M.
europepmc +1 more source
Abstract Purpose Robotic‐assisted total knee arthroplasty (TKA) and new alignment principles are transforming traditional implant positioning, not only in the coronal plane but also in the sagittal and axial planes. The impact of differences between a patient's native tibial slope (TS) and distal femoral flexion (DFF) compared to the final implant ...
Luca Andriollo+5 more
wiley +1 more source
Bloom compression alongside marine heatwaves contemporary with the Oregon upwelling season
Abstract Marine heatwave (MHW) events have led to acute decreases in primary production and phytoplankton biomass in the surface ocean, particularly at the mid latitudes. In the Northeast Pacific, these anomalous events have occasionally encroached onto the Oregon shelf during the ecologically important summer upwelling season.
Ian T. Black+2 more
wiley +1 more source
Spatial interpolation of health and demographic variables: Predicting malaria indicators with and without covariates. [PDF]
Morlighem C+4 more
europepmc +1 more source
Multivariate polynomial interpolation: Aitken–Neville sets and generalized principal lattices
Carl de Boor
openalex +1 more source