Artificial Intelligence and Cognitive Computing : Methods, Technologies, Systems, Applications and Policy Making
| Artificial Intelligence and Cognitive Computing : Methods, Technologies, Systems, Applications and Policy Making |
| Autore | Lytras Miltiadis |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (278 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
air quality
anomalies artificial intelligence Artificial intelligence artificial neural network assembly clearance barnett shale clustering CO2 flooding data envelopment analysis data mining decision making decision-making system deep learning devonian shale diesel engine quality dimension reduction elastic parameters empirical correlations face recognition fishbone multilateral wells histogram of oriented gradients Hybrid clustering international research Internet of things knowledge map visualization location prediction Long Short Term Memory (LSTM) LSTM machine learning minimum miscibility pressure (MMP) mixed integer linear programming most-matching Multi-hop routing multivariate n/a Network lifetime neural networks new models performance Poisson's ratio policy documents quantification policy keyword predictive models real-time regular patterns research hotspot rheological properties rough set sandstone sandstone formations security self-adaptive differential evolution smart cities smart tourism spatiotemporal speech output correction speech recognition spoofing static Young's modulus system total organic carbon trajectories visual analytics water-based drill-in fluid well productivity Wireless nodes |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Artificial Intelligence and Cognitive Computing |
| Record Nr. | UNINA-9910557356503321 |
Lytras Miltiadis
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Climate variability and change in the 21th Century
| Climate variability and change in the 21th Century |
| Autore | Stefanidis Stefanos |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (384 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
acclimatization
Aqua Bayesian-model averaging bias correction bias correction methods boreal region California Caucasian region climate climate change climate change and Conakry climate classification climate indices climate manipulation climate model selection climate-fire models cluster analysis CMIP5 CO2 fertilization effect CORDEX Côte d'Ivoire downscaling drought droughts ENSO ERA5 excess heat factor extreme wind speed feedback GCM geoengineering Google Earth Engine GPP Greece heat wave Hluhluwe-iMfolozi Park Hurst exponent hydrologic regions hydrological modeling intercalibration intersensor comparison kriging interpolation LAI Mann-Kendall Mediterranean climate mega-fires model uncertainty MODIS Mono River watershed multiple climate models multivariate NDVI objective classification OLCI optimal control persistence precipitation precipitations pseudo reality rainfall RCM reflective solar bands Regional Climate Model regional climate modeling RSB sassandra watershed Sentinel-3A SNO SNPP soil frost spatial correlation standardized precipitation index (SPI) surface roughness temperature Terra terrestrial ecosystems time series analysis topography trend analysis upper Indus basin VIIRS Vu Gia-Thu Bon warming wavelet weights wind climate wind damage risk management wind multiplier |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557547603321 |
Stefanidis Stefanos
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The Drought Risk Analysis, Forecasting, and Assessment under Climate Change
| The Drought Risk Analysis, Forecasting, and Assessment under Climate Change |
| Autore | Kim Tae-Woong |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (168 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
ARIMA model
artificial neural network assessment atmospheric teleconnection patterns bivariate frequency analysis China climate change climate variability comprehensive drought monitoring drought drought forecasting drought prediction drought return period drought risk extreme drought extreme spring drought forecasting GAMLSS global warming Hubei Province human activities hydrologic risk Indian Ocean Dipole Indochina Peninsula intentionally biased bootstrap method maize yield meteorological drought multisource data multivariate nonstationarity quantitative attribution reference period reference precipitation seasonal drought Songliao Plain maize belt southern Taiwan SPI standardized precipitation evapotranspiration index stochastic model |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557738803321 |
Kim Tae-Woong
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||