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