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Advances in Design by Metallic Materials: Synthesis, Characterization, Simulation and Applications
Advances in Design by Metallic Materials: Synthesis, Characterization, Simulation and Applications
Autore Fragassa Cristiano
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (234 p.)
Soggetto topico Technology: general issues
Soggetto non controllato artificial neural network
Artificial Neural Network (NN)
austenitic stainless steel
bainitic microstructure
case hardening depth
cermet
coating
compact graphite cast iron (CGI)
composite hardness models
connection
Constructal Design
copper coatings
creep resistance
deflection
ductile fracture
ductile/spheroidal cast iron (SGI)
experiment
experimental data analysis
extended finite element method (xFEM)
fatigue crack growth
forging
grain growth
hardness
high-temperature oxidation resistance
hybrid composite
hybrid materials
k-nearest neighbours (kNN)
large-strain plasticity
linear regression
long-term operated metals
Machine Learning (RF)
material properties prediction
micromagnetic testing
microstructure
MIV analysis
modified damage model
moment-rotation curve
n/a
numerical analysis
numerical simulation
pack aluminizing
pallet rack
pattern recognition
phase-field modeling
plates
polarization curve
pulsating current (PC)
Random Forest (RF)
retained austenite
S355J2+N steel
slurry erosion
spheroidal graphite cast iron
stiffeners
stress intensity factors (SIF)
tensile properties
thermomechanical processing
tribology
two-stage yield function
wear
wear performance
ZA27 alloy
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Advances in Design by Metallic Materials
Record Nr. UNINA-9910557726203321
Fragassa Cristiano  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Operationalization of Remote Sensing Solutions for Sustainable Forest Management
Operationalization of Remote Sensing Solutions for Sustainable Forest Management
Autore Mozgeris Gintautas
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (296 p.)
Soggetto topico Research & information: general
Soggetto non controllato accuracy assessment
airborne laser scanning
analytic hierarchy process
anthropogenic
Artic
bark beetle
bark beetle infestation
beech-fir forests
canopy gaps
canopy openings percentage
change detection
damage mapping
deep learning
deforestation depletion
DEM
DJI drone
earth observations
efficiency
Elastic Net
forest canopy
forest classification
forest damage
forest disturbance
forest inventory
forest management
forest mask
forest monitoring
forest road inventory
forested catchment
forestry
GIS
global navigation satellite system
gray level cooccurrence matrix (GLCM)
growing stock volume
harmonic regression
hydrological modeling
Ips typographus L.
Landsat
landsat time series
Large Scale Mean-Shift Segmentation (LSMS)
machine learning
mangrove
mangrove sustainability
MaxENT
multi-scale analysis
multi-temporal regression
multispectral imagery
n/a
national forest inventory
natural water balance
pest
phenology modelling
Phoracantha spp
pixel-based supervised classification
point cloud
positional accuracy
precision density
principal component analysis (PCA)
probability sampling
random forest
Random Forest (RF)
remote sensing
replanting
restoration
risk modeling
satellite imagery
satellite indices
Sentinel-2
Siberia
Southeast Asia
spruce
stand volume
support vector machine
SWAT model
thresholding analysis
time series analysis
total station
UAV
unmanned aerial vehicle (UAV)
validation
vegetation index
wildfires
WorldView-3
Yakutia
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557584103321
Mozgeris Gintautas  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui