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Artificial Intelligence-Based Learning Approaches for Remote Sensing
| Artificial Intelligence-Based Learning Approaches for Remote Sensing |
| Autore | Jeon Gwanggil |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (382 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Environmental science, engineering & technology |
| Soggetto non controllato |
pine wilt disease dataset
GIS application visualization test-time augmentation object detection hard negative mining video synthetic aperture radar (SAR) moving target shadow detection deep learning false alarms missed detections synthetic aperture radar (SAR) on-board ship detection YOLOv5 lightweight detector remote sensing image spectral domain translation generative adversarial network paired translation synthetic aperture radar ship instance segmentation global context modeling boundary-aware box prediction land-use and land-cover built-up expansion probability modelling landscape fragmentation machine learning support vector machine frequency ratio fuzzy logic artificial intelligence remote sensing interferometric phase filtering sparse regularization (SR) deep learning (DL) neural convolutional network (CNN) semantic segmentation open data building extraction unet deeplab classifying-inversion method AIS atmospheric duct ship detection and classification rotated bounding box attention feature alignment weather nowcasting ResNeXt radar data spectral-spatial interaction network spectral-spatial attention pansharpening UAV visual navigation Siamese network multi-order feature MIoU imbalanced data classification data over-sampling graph convolutional network semi-supervised learning troposcatter tropospheric turbulence intercity co-channel interference concrete bridge visual inspection defect deep convolutional neural network transfer learning interpretation techniques weakly supervised semantic segmentation |
| ISBN | 3-0365-6084-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910639984703321 |
Jeon Gwanggil
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Optimizations for Machine Learning
| Computational Optimizations for Machine Learning |
| Autore | Gabbay Freddy |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (276 p.) |
| Soggetto topico |
Mathematics & science
Research & information: general |
| Soggetto non controllato |
ARIMA model
artificial intelligence autoencoders bed roughness bio-inspired algorithms CNN architecture computational intelligence convolutional neural network deep compression deep learning deep neural networks DNN energy dissipation evolution of weights evolutionary algorithms evolutionary computation feature selection floating-point numbers FLOW-3D generalization error genetic algorithms hardware acceleration Heating, Ventilation and Air Conditioning (HVAC) hydraulic jumps low power machine learning meta-heuristic optimization metaheuristics search model predictive control multi-objective optimization nature inspired algorithms neural networks nonlinear systems online model selection online optimization precipitation nowcasting quantization radar data recurrent neural networks ReLU sensitivity analysis smart building soft computing swarm intelligence time series analysis training |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557610303321 |
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Gabbay Freddy
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Process Modeling in Pyrometallurgical Engineering
| Process Modeling in Pyrometallurgical Engineering |
| Autore | Saxen Henrik |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (642 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
3D molecular model
adaptive finite differences analysis tool angle of repose apparent activation energy arrhenius equation arsenate arsenic recovery arsenic removal arsenopyrite artificial intelligence basic oxygen furnace biomass blast furnace blast furnace hearth BOS reactor bubble motion burden distribution burden layer structure burden pile width C-H2 smelting reduction furnace carbon solution loss CFD CFD-DEM charcoal combustion rate charging system coalescence coke coke bed coke combustion rate combustion computational fluid dynamics computational fluid dynamics (CFD) conjugate heat transfer coordination number copper smelter copper smelting COREX COREX melter gasifier coupling effect Cr2O3 crystal size dead man decarburization DEM dimensional analysis Discrete Element Method discrete event simulation double impingement feeding system double-row side nozzles drainage dual gas injection dust ash dynamic model EAF electric arc furnace Electric Arc Furnace electrical energy consumption entrainment Eulerian multiphase flow fault detection and identification flat rolling flat-rolled wire flow behavior flow pattern fuel injection funneling flow gas flow gated recurrent unit genetic algorithm GPR hearth hearth drainage heating time horizontal single belt casting process (HSBC) hot rolling hot rolling planning Industry 4.0 interfacial phenomena ion-molecule coexistence theory iron and slag flow iron ore sintering process ironmaking blast furnace kinetic models LF refining slags Lignite lining wear liquid iron machine learning macroscopic shear bands main trough mass transfer coefficient mathematical model mathematical modeling matte-slag chemistry mechanism microwave and ultrasound modification mixed charging mixing time molten slag monomer blended fuel moving path multiple linear regression n/a natural gas neural network nickel-based alloy nickel-copper smelter normal pressure numerical model numerical simulation oxygen bottom blown oxygen consumption particle flow pattern PCA Peirce-smith converting pellet pile physical modeling porosity distribution prediction model process model processing maps quasi-particle quasi-particle fuel quasi-particle structure raceway evolution raceway size raceway zone radar data radiometric sensors RAFT refractory roasting roll design scrap melting secondary refining segregation models settling shape rolling Shuikoushan process simulation SKS slag entrapment slag eye solidification SPH spinel stainless steel slag statistical modeling steel refining steelmaking strain inhomogeneity structural characterization structural simulation supersonic coherent jet support vector data description tapholes temperature distribution thermodynamic model time sequence prediction TiN inclusion tire cord steel titanium distribution ratio TOU electricity pricing transient fluid of hot metal and molten slag trickle flow validation wall shear stress water model wire rod |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557580503321 |
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Saxen Henrik
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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