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
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
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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
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
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