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Advances in Sensors and Sensing for Technical Condition Assessment and NDT
| Advances in Sensors and Sensing for Technical Condition Assessment and NDT |
| Autore | Boczar Tomasz |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (216 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
pulse compression
scattering attenuation insulation ultrasonic testing OLTC AE sensor acoustic emission feature extraction supervised classification machine learning contrast-enhanced ultrasound muscle perfusion Nakagami parameter compounding Nakagami imaging low-frequency sensor power transformer low-frequency noise genetic algorithm geometric layout of railway track track axis identification tramway loop route's polygon GNSS mobile measurements vibroarthography VAG knee joint spectral features frequency analysis non-invasive examination lateral temperature gradient temperature field boundary conditions solar radiation intensity temperature monitoring non-destructive evaluation eddy current 3D sensing inverse problem wavelet transform principal component analysis neural network incubation spectrum image processing ROC curve infrasound measurement system wind turbine infrasound correlation analysis measuring scale thermoelastic deformation coefficient of thermal expansion elastic waves laser ultrasound Fizeau fiber interferometer defect identification high-current pulses current measurement high-current shunts circuit modeling Rogowski coil electrodynamic accelerators |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557471903321 |
Boczar Tomasz
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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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Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS
| Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS |
| Autore | Lee Chang-Wook |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (165 p.) |
| Soggetto topico | Environmental science, engineering & technology |
| Soggetto non controllato |
groundwater potential
specific capacity machine learning boosted tree ensemble models prototype selection river pollution supervised classification WSN probabilistic method Monte Carlo simulation physical slope model Mt. Umyeon landslides Seoul synthetic aperture radar land subsidence GIS time-series Jakarta land subsidence susceptibility mapping time-series InSAR StaMPS processing seismic vulnerability map DPM method Sentinel-1 seismic literacy neural networks urban vegetation urban open spaces Monterrey Metropolitan Area sustainable development deep learning transfer learning artificial intelligence remote sensing earth observation DInSAR change detection space data science |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557605403321 |
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Lee Chang-Wook
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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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Drones for Biodiversity Conservation and Ecological Monitoring
| Drones for Biodiversity Conservation and Ecological Monitoring |
| Autore | Mücher C.A |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (176 p.) |
| Soggetto non controllato |
Pinus nigra
unmanned aerial vehicles (UAVs) biological conservation precision flight altitude accuracy multiscale approach low-cost UAV LTER small UAV ecological monitoring Sequoia long-term monitoring albedo image processing vegetation indices Tanzania ground-truth Sentinel-2 biodiversity threats field experiments effective management great apes drone ecological integrity multispectral rice crops conservation protected areas survey response surface aerial survey bird censuses multispectral mapping drones UAS hyperspectral UAV random forest Pinus sylvestris NDVI UAVs Parrot Sequoia supervised classification drone mapping RPAS greenness index image resolution Plegadis falcinellus Motus biodiversity Landsat 8 Sentinel boreal forest phenology LTSER western swamphen Parrot SEQUOIA native grassland forêt Montmorency drought forest regeneration radio-tracking |
| ISBN | 3-03921-981-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367736803321 |
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Mücher C.A
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Imaging Floods and Glacier Geohazards with Remote Sensing
| Imaging Floods and Glacier Geohazards with Remote Sensing |
| Autore | Cigna Francesca |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (266 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
glacier surge
glacier collapse rock-slope instability hazard Landsat Sentinel 2 Tibet flood extent mapping supervised classification NDWI synthetic aperture radar (SAR) web application synthetic aperture radar offset tracking displacements Sentinel-1 glacier monitoring flood mapping damage assessment SAR image Landsat-8 Google Earth Engine GEE Bangladesh SAR intensity time series urban flood mapping double bounce effect Hurricane Matthew flood FPI GRACE terrestrial water storage anomaly storage deficit mass balance snow depth glacier retreat surface DEM elevation change Sentinel Secchi disk chlorophyll a sediments phytoplankton floods remote sensing GIS disaster mapping Lower Chenab Plain laserscanning UAV-structure from Motion multi-spectral satellite data synthetic Aperture Radar glacier lake evolution glacier river slope processes rock fall cryosphere fusion inundation probability Hurricane Harvey ADCIRC |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557770603321 |
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Cigna Francesca
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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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Information Theory and Machine Learning
| Information Theory and Machine Learning |
| Autore | Zheng Lizhong |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (254 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
supervised classification
independent and non-identically distributed features analytical error probability empirical risk generalization error K-means clustering model compression population risk rate distortion theory vector quantization overfitting information criteria entropy model-based clustering merging mixture components component overlap interpretability time series prediction finite state machines hidden Markov models recurrent neural networks reservoir computers long short-term memory deep neural network information theory local information geometry feature extraction spiking neural network meta-learning information theoretic learning minimum error entropy artificial general intelligence closed-loop transcription linear discriminative representation rate reduction minimax game fairness HGR maximal correlation independence criterion separation criterion pattern dictionary atypicality Lempel–Ziv algorithm lossless compression anomaly detection information-theoretic bounds distribution and federated learning |
| ISBN | 3-0365-5308-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619463403321 |
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Zheng Lizhong
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Nonparametric Statistical Inference with an Emphasis on Information-Theoretic Methods
| Nonparametric Statistical Inference with an Emphasis on Information-Theoretic Methods |
| Autore | Mielniczuk Jan |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (226 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Mechanical engineering & materials |
| Soggetto non controllato |
high-dimensional time series
nonstationarity network estimation change points kernel estimation high-dimensional regression loss function random predictors misspecification consistent selection subgaussianity generalized information criterion robustness statistical learning theory information theory entropy parameter estimation learning systems privacy prediction methods misclassification risk model misspecification penalized estimation supervised classification variable selection consistency archimedean copula consistency estimation extreme-value copula tail dependency multivariate analysis conditional mutual information CMI information measures nonparametric variable selection criteria gaussian mixture conditional infomax feature extraction CIFE joint mutual information criterion JMI generative tree model Markov blanket minimum distance estimation maximum likelihood estimation influence functions adaptive splines B-splines right-censored data semiparametric regression synthetic data transformation time series |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576873203321 |
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Mielniczuk Jan
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing of Natural Hazards
| Remote Sensing of Natural Hazards |
| Autore | Ahmed Bayes |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (314 p.) |
| Soggetto topico |
Research & information: general
Geography |
| Soggetto non controllato |
sequential estimation
InSAR time series groundwater land subsidence and rebound earthquake rapid mapping damage assessment deep learning convolutional neural networks ordinal regression aerial image landslide machine learning models remote sensing ensemble models validation ice storm forest ecosystems disaster impact post-disaster recovery ice jam snowmelt flood mapping monitoring and prediction VIIRS ABI NUAE flash flood BRT CART naive Bayes tree geohydrological model landslide susceptibility Bangladesh digital elevation model random forest modified frequency ratio logistic regression automatic landslide detection OBIA PBA random forests supervised classification landslides uncertainty K-Nearest Neighbor Multi-Layer Perceptron Random Forest Support Vector Machine agriculture drought NDVI MODIS landslide deformation InSAR reservoir water level Sentinel-1 Three Gorges Reservoir area (China) peri-urbanization urban growth boundary demarcation climate change climate migrants natural hazards flooding land use and land cover night-time light data Dhaka |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595070103321 |
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Ahmed Bayes
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| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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