Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Flood Forecasting Using Machine Learning Methods
| Flood Forecasting Using Machine Learning Methods |
| Autore | Chang Fi-John |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (376 p.) |
| Soggetto non controllato |
natural hazards &
artificial neural network flood routing the Three Gorges Dam backtracking search optimization algorithm (BSA) lag analysis artificial intelligence classification and regression trees (CART) decision tree real-time optimization ensemble empirical mode decomposition (EEMD) improved bat algorithm convolutional neural networks ANFIS method of tracking energy differences (MTED) adaptive neuro-fuzzy inference system (ANFIS) recurrent nonlinear autoregressive with exogenous inputs (RNARX) disasters flood prediction ANN-based models flood inundation map ensemble machine learning flood forecast sensitivity hydrologic models phase space reconstruction water level forecast data forward prediction early flood warning systems bees algorithm random forest uncertainty soft computing data science hydrometeorology LSTM rating curve method forecasting superpixel particle swarm optimization high-resolution remote-sensing images machine learning support vector machine Lower Yellow River extreme event management runoff series empirical wavelet transform Muskingum model hydrograph predictions bat algorithm data scarce basins Wilson flood self-organizing map big data extreme learning machine (ELM) hydroinformatics nonlinear Muskingum model invasive weed optimization rainfall–runoff flood forecasting artificial neural networks flash-flood streamflow predictions precipitation-runoff the upper Yangtze River survey parameters Haraz watershed ANN time series prediction postprocessing flood susceptibility modeling rainfall-runoff deep learning database LSTM network ensemble technique hybrid neural network self-organizing map (SOM) data assimilation particle filter algorithm monthly streamflow forecasting Dongting Lake machine learning methods micro-model stopping criteria Google Maps cultural algorithm wolf pack algorithm flood events urban water bodies Karahan flood St. Venant equations hybrid & hydrologic model |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346688303321 |
Chang Fi-John
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Multi-Objective and Multi-Attribute Optimisation for Sustainable Development Decision Aiding / Jurgita Antuchevičienė, Samarjit Kar, Edmundas Kazimieras Zavadskas
| Multi-Objective and Multi-Attribute Optimisation for Sustainable Development Decision Aiding / Jurgita Antuchevičienė, Samarjit Kar, Edmundas Kazimieras Zavadskas |
| Autore | Antuchevičienė Jurgita |
| Pubbl/distr/stampa | Basel, Switzerland : , : MDPI, , 2019 |
| Descrizione fisica | 1 electronic resource (394 p.) |
| Soggetto non controllato |
artificial neural network
sustainability hierarchy expert Rough Hamy aggregator sustainable solution crank–slider technology selection problem AHP bus pass optimization discrete time/cost trade-off Rough WASPAS hybrid multi-criteria decision making (MCDM) travel times extended Tomada de Decisão Interativa Multicritério (TODIM) bi-level programming multi-objective evolutionary algorithms project scheduling WASPAS port scheduling rehydration sustainable transport policy gold mines hybrid mathematical model sustainable developments straw bales group decision making contractor Total Interpretive Structural Modeling (TISM) MULTIMOORA building investment project heuristics cleaner production (CP) particle swarm optimization (PSO) optimization study critical information infrastructures bi-objective optimization dynamic analysis location-allocation problem probabilistic linguistic term sets (PLTSs) drying multiple objective optimization multi-objective decision-making (MODM) ranking hierarchical SWARA choice linguistic hesitant fuzzy set and Standard variance multiple-attribute decision-making (MADM) project sustainable energy evaluation emission of pollutants genetic algorithm ARAS-G multi-purpose system renewable energy assessment hospital evaluation bat algorithm multiple-criteria decision-making comfort of use of buildings energy efficiency healthcare facility conceptual framework hybrid expert system engineering sustainability verbal analysis sustainable energy developments sustainable development hybrid public transport water resource management compacted clay multiple criteria decision making (MCDM) MCDM particle swarm optimization algorithm sustainable traffic single-cylinder engine Rough BWM policy measures apple clay blocks historic buildings hesitant fuzzy set construction TOPSIS-GM roundabout fuzzy sustainable transport surface transport grey Multiple Attribute Decision Making (MADM) WSM ecological building management Geomean SWARA vibration suppression organizations innovation in transport risk berth-quay crane joint scheduling cost calculation multiple criteria decision aid |
| ISBN |
9783039211432
3039211439 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367758803321 |
|
Antuchevičienė Jurgita
|
||
| Basel, Switzerland : , : MDPI, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Novel Methods and Applications for Mineral Exploration
| Novel Methods and Applications for Mineral Exploration |
| Autore | Alexandre Paul |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (264 p.) |
| Soggetto non controllato |
mineral prospectivity mapping
deep mineral exploration geochemical exploration GA-SVR cross-gradients constraints laser-induced breakdown spectroscopy lithium mineral texture bat algorithm tungsten spatial analysis data-space stream sediments exploration MT geochemical fingerprinting 3D mineral prospectivity modeling Axi deposit LIBS dual-frequency IP one-class support vector machine Kagenfels pegmatite (co)-simulation LCT gravity gradiometry Natzwiller elastic-net regularization mineral resource classification mineral exploration Vosges micro-imaging exploration targeting project pursuit multivariate transform targeting joint inversion epithermal gold deposits inversion grain size analysis niobium Variscan orogeny QEMSCAN® receiver operating characteristic model-space JORC code Jinchuan Cu–Ni sulfide deposit limestone deposit area under the curve CSAMT magnetotelluric Youden index gravity granite |
| ISBN | 3-03928-944-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404081303321 |
|
Alexandre Paul
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||