Search results for "Splines"

showing 4 items of 44 documents

Local cubic splines on non-uniform grids and real-time computation of wavelet transform

2017

In this paper, local cubic quasi-interpolating splines on non-uniform grids are described. The splines are designed by fast computational algorithms that utilize the relation between splines and cubic interpolation polynomials. These splines provide an efficient tool for real-time signal processing. As an input, the splines use either clean or noised arbitrarily-spaced samples. Formulas for the spline’s extrapolation beyond the sampling interval are established. Sharp estimations of the approximation errors are presented. The capability to adapt the grid to the structure of an object and to have minimal requirements to the operating memory are of great advantages for offline processing of s…

local splinesreal-time wavelet transformMathematicsofComputing_NUMERICALANALYSISdiscrete vanishing momentsquasi-interpolating splinesComputingMethodologies_COMPUTERGRAPHICS
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Assessment of Gully Erosion Susceptibility Using Multivariate Adaptive Regression Splines and Accounting for Terrain Connectivity

2017

In this work, we assessed gully erosion susceptibility in two adjacent cultivated catchments of Sicily (Italy) by employing multivariate adaptive regression splines and a set of geo-environmental variables. To explore the influence of hydrological connectivity on gully occurrence, we measured the changes of performance occurred when adding one by one nine predictors reflecting terrain connectivity to a base model that included contributing area and slope gradient. Receiver operating characteristic (ROC) curves and the area under the ROC curve were used to evaluate model performance. Gully predictive models were trained in both the catchments and submitted to internal (in the calibration cat…

multivariate adaptive regression splinegully erosionterrain connectivitySettore GEO/04 - Geografia Fisica E Geomorfologiagully erosion; susceptibility; terrain connectivity; multivariate adaptive regression splines; GISGISSettore GEO/05 - Geologia Applicatasusceptibility
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Predicting Earthquake-Induced Landslides by Using a Stochastic Modeling Approach: A Case Study of the 2001 El Salvador Coseismic Landslides

2023

In January and February 2001, El Salvador was hit by two strong earthquakes that triggered thousands of landslides, causing 1259 fatalities and extensive damage. The analysis of aerial and SPOT-4 satellite images allowed us to map 6491 coseismic landslides, mainly debris slides and flows that occurred in volcanic epiclastites and pyroclastites. Four different multivariate adaptive regression splines (MARS) models were produced using different predictors and landslide inventories which contain slope failures triggered by an extreme rainfall event in 2009 and those induced by the earthquakes of 2001. In a predictive analysis, three validation scenarios were employed: the first and the second …

multivariate adaptive regression splines (MARS)Settore GEO/04 - Geografia Fisica E GeomorfologiaGeography Planning and Developmentrainfall-induced landslidesCentral Americaearthquake-induced landslidesGISearthquakeEarth and Planetary Sciences (miscellaneous)El Salvadorlandslide susceptibilityComputers in Earth Scienceslandslide susceptibility; multivariate adaptive regression splines (MARS); GIS; earthquake; earthquake-induced landslides; rainfall-induced landslides; El Salvador; Central AmericaSettore GEO/05 - Geologia Applicata
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Application of selected methods of black box for modelling the settleability process in wastewater treatment plant

2017

The paper described how the results of measurement s of inflow wastewater temperature in the chamber, a degree of external and internal recirculation in the biological-mechanical wastewater treatment plan t (WWTP) in Cedzyna near Kielce, Poland, were used to make predictions of settleability of activated sludge. Three methods,namely: multivariate adaptive regression splines (MARS), random forests (RF) and modified random forests (RF+ SOM) were employed to compute activated sludge settleability. The results of analysis indicate that modified random forests demonstrate the best predictive abilities.

random forestsmodified random forestssludge settleabilitymultivariate adaptive regression splinesEcological Chemistry and Engineering S-Chemia I Inzynieria Ekologiczna S
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