Search results for "Spatial mapping"

showing 2 items of 2 documents

Assessment of the interpretability of data mining for the spatial modelling of water erosion using game theory

2021

Abstract This study undertook a comprehensive application of 15 data mining (DM) models, most of which have, thus far, not been commonly used in environmental sciences, to predict land susceptibility to water erosion hazard in the Kahorestan catchment, southern Iran. The DM models were BGLM, BGAM, Cforest, CITree, GAMS, LRSS, NCPQR, PLS, PLSGLM, QR, RLM, SGB, SVM, BCART and BTR. We identified 18 factors usually considered as key controls for water erosion, comprising 10 factors extracted from a digital elevation model (DEM), three indices extracted from Landsat 8 images, a sediment connectivity index (SCI) and three other intrinsic factors. Three indicators consisting of MAE, MBE, RMSE, and…

Hazard (logic)Hazard map010504 meteorology & atmospheric sciencesMean squared error04 agricultural and veterinary sciencesCatchment managementcomputer.software_genre01 natural sciencesShapley additive explanationsSupport vector machineErosionTopological index040103 agronomy & agricultureFeature (machine learning)Permutation feature importance measure0401 agriculture forestry and fisheriesSpatial mappingData miningDigital elevation modelGame theorycomputer0105 earth and related environmental sciencesEarth-Surface ProcessesMathematicsInterpretability
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Non-invasive Spatial Mapping of Frequencies in Atrial Fibrillation: Correlation With Contact Mapping

2021

[EN] Introduction: Regional differences in activation rates may contribute to the electrical substrates that maintain atrial fibrillation (AF), and estimating them non-invasively may help guide ablation or select anti-arrhythmic medications. We tested whether non-invasive assessment of regional AF rate accurately represents intracardiac recordings. Methods: In 47 patients with AF (27 persistent, age 63 +/- 13 years) we performed 57-lead non-invasive Electrocardiographic Imaging (ECGI) in AF, simultaneously with 64-pole intracardiac signals of both atria. ECGI was reconstructed by Tikhonov regularization. We constructed personalized 3D AF rate distribution maps by Dominant Frequency (DF) ana…

medicine.medical_specialtyPhysiologymedicine.medical_treatmentDriverBasket mapping030204 cardiovascular system & hematologyIntracardiac injectionlcsh:PhysiologyCorrelationTECNOLOGIA ELECTRONICA03 medical and health sciences0302 clinical medicineInternal medicinePhysiology (medical)medicineOriginal ResearchImatges tridimensionals en medicinalcsh:QP1-981Dominant frequencybusiness.industryNon invasiveSpatial mappingElectrocardiographic imagingAtrial fibrillationDominant frequencyAblationmedicine.diseaseAtrial fibrillationElectrocardiographic imagingNon-invasive mappingCardiologyEnginyeria biomèdicabusiness030217 neurology & neurosurgery
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