Overcoming Data Scarcity in Earth Science |
Autore | Etcheverry Venturini Lorena |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (94 p.) |
Soggetto non controllato |
geophysical monitoring
data scarcity missing data climate extreme indices (CEIs) rule extraction Dataset Licensedatabase data assimilation data imputation support vector machines environmental observations multi-class classification earth-science data remote sensing magnetotelluric monitoring soil texture calculator machine learning ClimPACT invasive species species distribution modeling 3D-Var ensemble learning data quality water quality microhabitat k-Nearest Neighbors Expert Team on Climate Change Detection and Indices (ETCCDI) decision trees processing attribute reduction Expert Team on Sector-specific Climate Indices (ET-SCI) core attribute rough set theory GLDAS arthropod vector environmental modeling statistical methods |
ISBN | 3-03928-211-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910404080803321 |
Etcheverry Venturini Lorena | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Present and Future of Gravitational Wave Astronomy |
Autore | Vajente Gabriele |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (428 p.) |
Soggetto topico |
Research & information: general
Physics |
Soggetto non controllato |
LIGO
Virgo KAGRA gravitational waves detector characterization data quality noise mitigation seismic noise Newtonian noise seismic isolation system noise subtraction DECIGO thermal noise quantum noise diffraction loss interferometers ground based gravitational-wave detector Advanced Virgo gravitational-wave backgrounds stochastic gravitational-wave backgrounds stochastic searches of gravitational waves gravitational-wave laser interferometers pulsar timing arrays gravitational wave detectors optomechanics low-noise high-power laser interferometry calibration interferometer gravitational wave astrophysics laser metrology squeezed states quantum optics gravitational wave detector laser interferometer cryogenics underground einstein telescope newtonian noise coating noise silicon suspensions payload cryostat core-collapse supernova future detectors continuous gravitational waves neutron stars dark matter gravitational-wave astrophysics stars black holes stellar evolution binary stars stellar dynamics laser interferometers |
ISBN | 3-0365-5226-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910619468803321 |
Vajente Gabriele | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Statistical Data Modeling and Machine Learning with Applications |
Autore | Gocheva-Ilieva Snezhana |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (184 p.) |
Soggetto topico | Information technology industries |
Soggetto non controllato |
mathematical competency
assessment machine learning classification and regression tree CART ensembles and bagging ensemble model multivariate adaptive regression splines cross-validation dam inflow prediction long short-term memory wavelet transform input predictor selection hyper-parameter optimization brain-computer interface EEG motor imagery CNN-LSTM architectures real-time motion imagery recognition artificial neural networks banking hedonic prices housing quantile regression data quality citizen science consensus models clustering Gower's interpolation formula Gower's metric mixed data multidimensional scaling classification data-adaptive kernel functions image data multi-category classifier predictive models support vector machine stochastic gradient descent damped Newton convexity METABRIC dataset breast cancer subtyping deep forest multi-omics data categorical data similarity feature selection kernel density estimation non-linear optimization kernel clustering |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557359003321 |
Gocheva-Ilieva Snezhana | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Trustworthiness in Mobile Cyber Physical Systems |
Autore | Kang Kyungtae |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (190 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
AUTOSAR
DAG runnable scheduling control-scheduling codesign lagrange multiplier Mobile Cyber-Physical Systems (MCPS) industry Mobile Sink Groups (MSG) group mobility real-time data delivery Intelligent Transportation System (ITS) deep neural network Red Light Runner (RLR) dynamic signal control intersection safety mixed-criticality power-aware real-time scheduling DVFS security taxonomies event-based systems mobile cyber physical systems security flaws searchable encryption PEKS forward privacy trusted execution environment SGX data quality large-scale high-dimensionality linear discriminant analysis random projection bootstrapping controller area network bus authentication authenticity resiliency sustainability formal verification model checking in-vehicle network model compression adversarial robustness weight pruning adversarial training distillation embedded system secure AI |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557531703321 |
Kang Kyungtae | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|