Search results for " Stochastic modeling"

showing 4 items of 4 documents

Gully erosion susceptibility assessment by means of GIS-based logistic regression: A case of Sicily (Italy)

2014

article i nfo Article history: This research aims at characterizing susceptibility conditions to gully erosion by means of GIS and multivariate statistical analysis. The study area is a 9.5 km 2 river catchment in central-northern Sicily, where agriculture ac- tivities are limited by intense erosion. By means of field surveys and interpretation of aerial images, we prepared a digitalmap of thespatial distribution of 260 gulliesinthestudy area.Inaddition,fromavailable thematicmaps, a 5 m cell size digital elevation model and field checks, we derived 27 environmental attributes that describe the variability of lithology, land use, topography and road position. These attributes were selected f…

Aerial surveyCalibration (statistics)Settore GEO/04 - Geografia Fisica E GeomorfologiaLogistic regressionErosion susceptibilityRegression analysisStepwise regressionGISLogistic regressionROC curveGully erosionAerial photographyErosionDigital elevation modelGully erosion; GIS; Stochastic Modeling; SiciliaSicilySettore GEO/05 - Geologia ApplicataCartographyGeologyEarth-Surface Processes
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Chlorophyll Concentration Retrieval by Training Convolutional Neural Network for Stochastic Model of Leaf Optical Properties (SLOP) Inversion

2020

Miniaturized hyperspectral imaging techniques have developed rapidly in recent years and have become widely available for different applications. Combining calibrated hyperspectral imagery with inverse physically based reflectance models is an interesting approach for estimating chlorophyll concentrations that are good indicators of vegetation health. The objective of this study was to develop a novel approach for retrieving chlorophyll a and b values from remotely sensed data by inverting the stochastic model of leaf optical properties using a one-dimensional convolutional neural network. The inversion results and retrieved values are validated in two ways: A classical machine learning val…

Chlorophyll boptical propertiesChlorophyll aklorofylli010504 meteorology & atmospheric sciencesCorrelation coefficientStochastic modelling0211 other engineering and technologiesconvolutional neural network02 engineering and technologyneuroverkotoptiset ominaisuudet01 natural sciencesConvolutional neural networkchemistry.chemical_compoundchlorophylllcsh:Scienceoptical properties; convolutional neural network; deep learning; chlorophyll; stochastic modeling; physical parameter retrieval; forestry021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsRemote sensingstokastiset prosessitbusiness.industryDeep learningspektrikuvausforestryHyperspectral imagingdeep learningmetsänarviointikoneoppiminenchemistryChlorophyllGeneral Earth and Planetary Scienceslcsh:QArtificial intelligencekaukokartoitusmetsänhoitobusinessphysical parameter retrievalstochastic modelingRemote Sensing; Volume 12; Issue 2; Pages: 283
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Enhancement of stability in systems with metastable states

2007

The investigation of noise‐induced phenomena in far from equilibrium systems is one of the approach used to understand the behaviour of physical and biological complex systems. Metastability is a generic feature of many nonlinear systems, and the problem of the lifetime of metastable states involves fundamental aspects of nonequilibrium statistical mechanics. The enhancement of the life‐time of metastable states through the noise enhanced stability effect and the role played by the resonant activation phenomenon will be discussed in models of interdisciplinary physics: (i) Ising model (ii) Josephson junction; (iii) stochastic FitzHugh‐Nagumo model; (iv) a population dynamics model, and (v) …

Josephson effectPhysicseducation.field_of_studySettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciStochastic volatilityStochastic processPopulationComplex systemStatistical mechanicsNoise Enhanced StabilityStochastic modeling of biological and medical physicsMetastabilityQuantum mechanicsMetastabilityIsing modelStochastic dynamicStatistical physicsMetastability; Noise Enhanced Stability; Stochastic dynamics; Stochastic modeling of biological and medical physicseducation
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Translocation dynamics of a short polymer driven by an oscillating force

2013

Under the terms of the Creative Commons Attribution 3.0 Unported License.

chemistry.chemical_classificationQuantitative Biology::BiomoleculesField (physics)Polymersmedia_common.quotation_subjectDynamics (mechanics)General Physics and AstronomyMonotonic functionPolymerFunction (mathematics)InertiaSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Settore FIS/03 - Fisica Della MateriaQuantitative Biology::Subcellular ProcessesCondensed Matter::Soft Condensed MatterLangevin equationchemistryChemical physicsMetastabilityPolymer translocation Complex Systems Langevin equation Stochastic modelingThermodynamicsStatistical physicsPhysical and Theoretical Chemistrymedia_common
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