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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 electronic resource (238 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
groundwater
artificial intelligence hydrologic model groundwater level prediction machine learning principal component analysis spatiotemporal variation uncertainty analysis hydroinformatics support vector machine big data artificial neural network nitrogen compound nitrogen prediction prediction models neural network non-linear modeling PACF WANN SVM-LF SVM-RF Govindpur streamflow forecasting Bayesian model averaging multivariate adaptive regression spline M5 model tree Kernel extreme learning machines South Korea uncertainty sustainability prediction intervals ungauged basin streamflow simulation satellite precipitation atmospheric reanalysis ensemble modeling additive regression bagging dagging random subspace rotation forest flood routing Muskingum method extension principle calibration fuzzy sets and systems particle swarm optimization EEFlux irrigation performance CWP water conservation NDVI water resources Daymet V3 Google Earth Engine improved extreme learning machine (IELM) sensitivity analysis shortwave radiation flux density sustainable development |
| 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 electronic resource (264 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
mine safety
GIS-coupled spatiotemporal model LBM methane gas emission traffic flows taxi trajectory float cars spatial community transport system land use multi-functionality production-living-ecology function spatiotemporal dynamics obstacle factors Xiangxi DEM grid cell size efficiency mountainous watersheds optimized parameter set TOPMODEL social media rainstorm event spatiotemporal analysis factor assessing parallel algorithm map overlay analysis Hilbert ordering decomposition spatial analysis GIS vector map data GIS vector map security selective encryption simplification method and cryptography geo-sensor framework geo-sensor platform (GIS) sensor networks do-it-yourself (DIY) landslide susceptibility mapping ensemble techniques functional trees bagging rotation forest dagging algorithm cognition computer languages eye-tracking measurement gaze tracking human-computer interaction open source software symbols visualisation Geographic information systems mine planning mine development mine operation environmental management mine reclamation Indian Himalayas landslides GIS remote sensing |
| 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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