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Claim Models: Granular Forms and Machine Learning Forms
Claim Models: Granular Forms and Machine Learning Forms
Autore Taylor Greg
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (108 p.)
Soggetto non controllato granular models
neural networks
actuarial
payments per claim incurred
risk pricing
machine learning
claim watching
loss reserving
gradient boosting
predictive modeling
classification and regression trees
individual models
individual claims reserving
ISBN 3-03928-665-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Claim Models
Record Nr. UNINA-9910404090203321
Taylor Greg  
MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Feature Papers of Forecasting
Feature Papers of Forecasting
Autore Leva Sonia
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (186 p.)
Soggetto topico Research & information: general
Soggetto non controllato Direct Normal Irradiance (DNI)
IFS/ECMWF
forecast
evaluation
DNI attenuation Index (DAI)
bias correction
nowcast
meteorological radar data
optical flow
deep learning
Bates-Granger weights
uniform weights
(REG) ARIMA
ETS
Hodrick-Prescott trend
Google Trends indices
Himalayan region
streamflow forecast verification
persistence
snow-fed rivers
intermittent rivers
costumer relation management
business to business sales prediction
machine learning
predictive modeling
microsoft azure machine-learning service
travel time forecasting
time series
bus service
transit systems
sustainable urban mobility plan
bus travel time
learning curve
forecasting
production cost
cost estimating
semi-empirical model
logistic map
COVID-19
SARS-CoV-2
PV output power estimation
PV-load decoupling
behind-the-meter PV
baseline prediction
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557390403321
Leva Sonia  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Wildfire Hazard and Risk Assessment
Wildfire Hazard and Risk Assessment
Autore Meldrum James R
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (222 p.)
Soggetto topico Research & information: general
Biology, life sciences
Forestry & related industries
Soggetto non controllato wildfire risk
object-oriented image analysis
Sentinel-2
fire behavior
flammap
wildfire management
water supply
erosion
wildfire containment
Potential fire Operational Delineations
Monte Carlo simulation
transmission risk
WUI
fire
defensible space
prescribed fire
community vulnerability
fire suppression costs
Zillow
wildfire
predictive modeling
fire spread model
Monte Carlo
spatial modeling
area difference index
statistics
precision
recall
principal components analysis
risk assessment
structure loss
wildland–urban interface
mitigation
mapping
land use
disaster
fire spread models
surrogate modeling
sensitivity analysis
global sensitivity analysis
colour coding
communication
forest fire
ordinal categorization
palette
risk
firefighter safety
safe separation distance
safety zones
LCES
Google Earth Engine
lidar
LANDFIRE
Landsat
GEDI
parcel-level risk
post-fire analysis
risk mitigation
rapid assessment
natural hazards
fuels
fire hazard
remote sensing
LiDAR
Sentinel
modeling
simulation
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566472703321
Meldrum James R  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui