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Advances in Remote Sensing-based Disaster Monitoring and Assessment
| Advances in Remote Sensing-based Disaster Monitoring and Assessment |
| Autore | Im Jungho |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (232 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
wildfire
satellite vegetation indices live fuel moisture empirical model function Southern California chaparral ecosystem forest fire forest recovery satellite remote sensing vegetation index burn index gross primary production South Korea land subsidence PS-InSAR uneven settlement building construction Beijing urban area floodplain delineation inaccessible region machine learning flash flood risk LSSVM China Himawari-8 threshold-based algorithm remote sensing dryness monitoring soil moisture NIR-Red spectral space Landsat-8 MODIS Xinjiang province of China SDE PE groundwater level compressible sediment layer tropical cyclone formation WindSat disaster monitoring wireless sensor network debris flow anomaly detection deep learning accelerometer sensor total precipitable water Himawari-8 AHI random forest deep neural network XGBoost |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557765003321 |
Im Jungho
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Deep Learning-Based Machinery Fault Diagnostics
| Deep Learning-Based Machinery Fault Diagnostics |
| Autore | Chen Hongtian |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (290 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
process monitoring
dynamics variable time lag dynamic autoregressive latent variables model sintering process hammerstein output-error systems auxiliary model multi-innovation identification theory fractional-order calculus theory canonical variate analysis disturbance detection power transmission system k-nearest neighbor analysis statistical local analysis intelligent fault diagnosis stacked pruning sparse denoising autoencoder convolutional neural network anti-noise flywheel fault diagnosis belief rule base fuzzy fault tree analysis Bayesian network evidential reasoning aluminum reduction process alumina concentration subspace identification distributed predictive control spatiotemporal feature fusion gated recurrent unit attention mechanism fault diagnosis evidential reasoning rule system modelling information transformation parameter optimization event-triggered control interval type-2 Takagi-Sugeno fuzzy model nonlinear networked systems filter gearbox fault diagnosis convolution fusion state identification PSO wavelet mutation LSSVM data-driven operational optimization case-based reasoning local outlier factor abnormal case removal bearing fault detection deep residual network data augmentation canonical correlation analysis just-in-time learning fault detection high-speed trains autonomous underwater vehicle thruster fault diagnostics fault tolerant control robust optimization ocean currents |
| ISBN | 3-0365-5174-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619469103321 |
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Chen Hongtian
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Energy Development for Sustainability
| Energy Development for Sustainability |
| Autore | Chen Wei-Hsin |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (310 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
multi-objective optimization
bioenergy biomass microalgae sludge wastewater algae biofuel production environmental policy life cycle assessment clean energy incubator core competitiveness evaluation matter-element extension TOPSIS KPCA NSGA-II LSSVM smart grid time-of-use demand bidding program battery energy storage system direct search method sorghum distilled residue thermogravimetric analysis torrefaction kinetics biomass and bioenergy particle swarm optimization (PSO) biochar LMDI decomposition spatiotemporal analysis ASEAN climate change CO2 emissions light trapping zero-depth concentrator light reflection internal-cell spacing energy system coal regulation pollution abatement environmental benefits health benefits transport spatial LMDI emissions Philippines Google Maps transportation energy use modeling vehicle flow organosolv pretreatment delignification fractionation organic solvent degraded empty fruit bunch COVID-19 CO2 fossil fuel Malaysia metal–organic framework MIL-101 solvent free adsorption carbon dioxide air conditioner cooling load heat conduction residential building roof insulation roof tile color solar reflectance metal–air battery carbon particles biomass waste electro-catalyst g-C3N4 carbon composite coconut shell husk characteristic sonocatalytic degradation malachite green |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576877603321 |
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Chen Wei-Hsin
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Information Theory and Its Application in Machine Condition Monitoring
| Information Theory and Its Application in Machine Condition Monitoring |
| Autore | Li Yongbo |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (194 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
fault detection
deep learning transfer learning anomaly detection bearing wind turbines misalignment fault diagnosis information fusion improved artificial bee colony algorithm LSSVM D-S evidence theory optimal bandwidth kernel density estimation JS divergence domain adaptation partial transfer subdomain rotating machinery gearbox signal interception peak extraction cubic spline interpolation envelope combined fault diagnosis empirical wavelet transform grey wolf optimizer low pass FIR filter support vector machine satellite momentum wheel Huffman-multi-scale entropy (HMSE) support vector machine (SVM) adaptive particle swarm optimization (APSO) rail surface defect detection machine vision YOLOv4 MobileNetV3 multi-source heterogeneous fusion |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566460803321 |
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Li Yongbo
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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