Search results for "machine learning classifier"

showing 2 items of 2 documents

Classifying Major Explosions and Paroxysms at Stromboli Volcano (Italy) from Space

2021

Stromboli volcano has a persistent activity that is almost exclusively explosive. Predominated by low intensity events, this activity is occasionally interspersed with more powerful episodes, known as major explosions and paroxysms, which represent the main hazards for the inhabitants of the island. Here, we propose a machine learning approach to distinguish between paroxysms and major explosions by using satellite-derived measurements. We investigated the high energy explosive events occurring in the period January 2018–April 2021. Three distinguishing features are taken into account, namely (i) the temporal variations of surface temperature over the summit area, (ii) the magnitude of the …

High energygeographygeography.geographical_feature_categorysatellite remote sensingExplosive materialLand surface temperaturemachine learning classifierScienceQPlume heightoptical imageryMagnitude (mathematics)volcanic explosionsPlumeVolcanoGeneral Earth and Planetary Sciencesradar imageryvolcanic explosions; satellite remote sensing; machine learning classifier; optical imagery; radar imagerySeismologyGeologyVolcanic ashRemote Sensing
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CT Radiomic Features and Clinical Biomarkers for Predicting Coronary Artery Disease

2023

AbstractThis study was aimed to investigate the predictive value of the radiomics features extracted from pericoronaric adipose tissue — around the anterior interventricular artery (IVA) — to assess the condition of coronary arteries compared with the use of clinical characteristics alone (i.e., risk factors). Clinical and radiomic data of 118 patients were retrospectively analyzed. In total, 93 radiomics features were extracted for each ROI around the IVA, and 13 clinical features were used to build different machine learning models finalized to predict the impairment (or otherwise) of coronary arteries. Pericoronaric radiomic features improved prediction above the use of risk factors alon…

Predictive modelsSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniRadiomic featuresCognitive NeuroscienceClinical featuresModel explainabilityComputer Vision and Pattern RecognitionPericoronaric adipose fatCoronary artery diseaseMachine learning classifiersComputer Science ApplicationsCognitive Computation
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