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Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management
| Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management |
| Autore | Kisi Ozgur |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (238 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
additive regression
artificial intelligence artificial neural network atmospheric reanalysis bagging Bayesian model averaging big data calibration CWP dagging Daymet V3 EEFlux ensemble modeling extension principle flood routing fuzzy sets and systems Google Earth Engine Govindpur groundwater groundwater level prediction hydroinformatics hydrologic model improved extreme learning machine (IELM) irrigation performance Kernel extreme learning machines M5 model tree machine learning multivariate adaptive regression spline Muskingum method n/a NDVI neural network nitrogen compound nitrogen prediction non-linear modeling PACF particle swarm optimization prediction intervals prediction models principal component analysis random subspace rotation forest satellite precipitation sensitivity analysis shortwave radiation flux density South Korea spatiotemporal variation streamflow forecasting streamflow simulation support vector machine sustainability sustainable development SVM-LF SVM-RF uncertainty uncertainty analysis ungauged basin WANN water conservation water resources |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557448103321 |
Kisi Ozgur
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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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Recent Advances in Geographic Information System for Earth Sciences
| Recent Advances in Geographic Information System for Earth Sciences |
| Autore | Choi Yosoon |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (264 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
algorithm
bagging cognition computer languages dagging DEM grid cell size do-it-yourself (DIY) efficiency ensemble techniques environmental management eye-tracking measurement factor assessing float cars functional trees gaze tracking geo-sensor framework geo-sensor platform (GIS) Geographic information systems GIS GIS vector map data GIS vector map security GIS-coupled Hilbert ordering decomposition human-computer interaction Indian Himalayas land use landslide susceptibility mapping landslides LBM map overlay analysis methane gas emission mine development mine operation mine planning mine reclamation mine safety mountainous watersheds multi-functionality obstacle factors open source software optimized parameter set parallel algorithm production-living-ecology function rainstorm event remote sensing rotation forest selective encryption sensor networks simplification method and cryptography social media spatial analysis spatial community spatiotemporal analysis spatiotemporal dynamics spatiotemporal model symbols taxi trajectory TOPMODEL traffic flows transport system visualisation Xiangxi |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557575203321 |
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Choi Yosoon
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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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