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Advances in Computational Intelligence Applications in the Mining Industry
| Advances in Computational Intelligence Applications in the Mining Industry |
| Autore | Ganguli Rajive |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (324 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
accidents
artificial intelligence ball mill throughput Bayesian network Bayesian Network Structure Learning (BNSL) bitumen extraction bitumen processability blast impact bluetooth beacon classification and regression tree coal convolutional neural networks damage risk analysis data analytics in mining decision trees digital twin dimensionality reduction discrete event simulation empirical model epithermal gold fragmentation fragmentation size analysis gaussian naïve bayes geological uncertainty geostatistics grinding circuits health and safety management hyperspectral imaging image analysis k-nearest neighbors knowledge discovery macerals machine learning masonry buildings measurement while drilling mine optimization mine safety and health mine worker fatigue mine-to-mill mineral prospectivity mapping minerals processing mining mining equipment uncertainties mining exploitation mining geology modes of operation multispectral imaging multivariate statistics n/a Naive Bayes narratives natural language processing neighbourhood component analysis non-additivity oil sands operational data ore control orebody uncertainty partial least squares regression petrographic analysis point cloud scaling Q-learning random forest random forest algorithm random forest classification random forest model rock type semantic segmentation stockpiles structure from motion support vector machine tactical geometallurgy transport route transport time truck dispatching underground mine unstructured data variable importance |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557613103321 |
Ganguli Rajive
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Green Infrastructure Planning
| Advances in Green Infrastructure Planning |
| Autore | Kim Hyun-Woo <1957-> |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (122 p.) |
| Soggetto topico |
Meteorology & climatology
Research & information: general |
| Soggetto non controllato |
access inequity
city scale construction site cost-benefit analysis Dallas ecosystem services emission factor empirical studies extreme gradient boost green infrastructure indexing inequity mitigation interpretation of machine learning land use land cover multilevel analysis park characteristic particulate matter emissions predicting vacancy prediction technology random forest shapley additive explanation stormwater management systematic mapping urban green infrastructure urban heat island urban shrinkage urbanization vacancy parcel data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566463903321 |
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Kim Hyun-Woo <1957->
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Hydrologic Forecasts and Water Resources Management
| Advances in Hydrologic Forecasts and Water Resources Management |
| Autore | Chang Fi-John |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (272 p.) |
| Soggetto topico | Research and information: general |
| Soggetto non controllato |
artificial intelligence
artificial neural networks cascade hydropower reservoirs cascade reservoirs changing environments climate change impacts coupled models dammed lake data synthesis data-scarce deglaciating river basin degree of balance and approach elastic-ball modification elasticity coefficient empirical mode decomposition feasible search space flood control flood risk flood-risk map forecast evaluation generalized likelihood uncertainty estimation Generalized Likelihood Uncertainty Estimation (GLUE) GloFAS-Seasonal GR4J model gravitational search algorithm grey entropy method highly urbanized area Hushan reservoir hydrodynamic modelling hydrologic forecasting impoundment operation Internet of Things (IoT) interval number landslide loss-benefit ratio of ecology and power generation machine learning machine learning model Mahalanobis-Taguchi System multi-objective optimal operation model multi-objective optimization multi-objective reservoir operation NDVI opposition learning parameter uncertainty Pareto-front optimal solution set partial mutation probabilistic forecast random forest recurrent nonlinear autoregressive with exogenous inputs (RNARX) regional flood inundation depth risk Sequential Gaussian Simulation signal-to-noise ratio small and medium-scale rivers Snowmelt Runoff Model Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) temporal transferability Three Gorges Reservoir time-varying parameter TOPSIS uncertainty uncertainty analysis Unscented Kalman Filter urban hydrological model urban stormwater water resources management western China whole region perspective Yangtze River Yarlung Zangbo River |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557110703321 |
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Chang Fi-John
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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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Advances in Remote Sensing for Global Forest Monitoring
| Advances in Remote Sensing for Global Forest Monitoring |
| Autore | Tomppo Erkki |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (352 p.) |
| Soggetto topico |
Environmental economics
Research and information: general |
| Soggetto non controllato |
activity data
bootstrapping boreal forest Bowen ratio C-band canopy height model carbon flux classification compatible equation constrained neighbor interpolation CRFasRNN CUSUM data assessment data fusion deep learning deforestation degradation digital surface model digital terrain model drought dual-FCN8s EBLUP emissions factor error propagation error-in-variable modeling FCN8s field measured LAI forest area change forest cover forest disturbance mapping forest monitoring forest structure change forest type genetic algorithm Germany GF2 improved k-NN inconsistency IPCC good practice guidelines La Rioja land use land cover Landsat leave-one-out cross-validation LiDAR logistic regression machine-learning magnitude multinomial logistic regression multitemporal LiDAR and stand-level estimates n/a near real-time monitoring nonlinear seemingly unrelated regression NRT monitoring ordinary neighbor interpolation Picea crassifolia Kom point cloud density random forest random forests remotely sensed LAI removals factor savanna Sentinel 2 Sentinel-1 Sentinel-2 small area estimation South Africa state space models statistical estimator stereo imagery support vector machine synthetic aperture radar temperate forest temporal dynamics time series satellite data tropical forest tropical peat uncertainty uncertainty evaluation validation windstorm damage |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557338103321 |
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Tomppo Erkki
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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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Advances in Remote Sensing-based Disaster Monitoring and Assessment
| Advances in Remote Sensing-based Disaster Monitoring and Assessment |
| Autore | Im Jungho |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (232 p.) |
| Soggetto topico | Research and information: general |
| Soggetto non controllato |
accelerometer sensor
anomaly detection Beijing urban area building construction burn index chaparral ecosystem China compressible sediment layer debris flow deep learning deep neural network disaster monitoring dryness monitoring empirical model function flash flood floodplain delineation forest fire forest recovery gross primary production groundwater level Himawari-8 Himawari-8 AHI inaccessible region land subsidence Landsat-8 live fuel moisture LSSVM machine learning MODIS n/a NIR-Red spectral space PE PS-InSAR random forest remote sensing risk satellite remote sensing satellite vegetation indices SDE soil moisture South Korea Southern California threshold-based algorithm total precipitable water tropical cyclone formation uneven settlement vegetation index wildfire WindSat wireless sensor network XGBoost Xinjiang province of China |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557765003321 |
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Im Jungho
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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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AI and Financial Markets
| AI and Financial Markets |
| Autore | Hamori Shigeyuki |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (230 p.) |
| Soggetto topico | Economics, Finance, Business and Management |
| Soggetto non controllato |
agent based simulation
algorithmic trading Artificial Intelligence artificial market asset allocation ATR autoencoder blockchain BlockCloud CAR regulation CfD community finances consensus algorithms contract for difference deep learning deep reinforcement learning economic policy exchange rates financial market simulation fiscal flexibility fundamentals hidden markov model individualized financial arrangements interpretability long short-term memory LSTM machine learning neural network neural networks portfolio prediction price momentum Q-learning random forest reinforcement learning RL simulation Stop Loss support vector machine sustainable financial services term structure of interest rates text mining topic model Turtle uncertainty yield curve |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557584903321 |
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Hamori Shigeyuki
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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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Algorithms for Fault Detection and Diagnosis
| Algorithms for Fault Detection and Diagnosis |
| Autore | Ferracuti Francesco |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (130 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
adaptive template matching
amplitude-aware permutation entropy battery faults battery management system battery safety combined prediction damage digital image processing edge detection fault diagnosis fault diagnostic algorithms fault prediction genetic algorithm gray level co-occurrence matrix instantaneous angular speed Kalman filter least squares support vector machine lithium-ion battery machine diagnostics machine vision misalignment motion tracking multiscale entropy multivariate grey model parametric template modeling quantum genetic algorithm random forest reusable launch vehicle rolling bearings self-organization map structural health monitoring SURVISHNO 2019 challenge thruster fault detection thruster valve failure video tachometer |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557630403321 |
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Ferracuti Francesco
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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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ALOS-2/PALSAR-2 Calibration, Validation, Science and Applications
| ALOS-2/PALSAR-2 Calibration, Validation, Science and Applications |
| Autore | Tadono Takeo |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (240 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Environmental science, engineering & technology |
| Soggetto non controllato |
Sentinel-1
ALOS/PALSAR-2 land subsidence accuracy assessment Alexandria City Egypt local climate zone random forest feature importance land surface temperature grid cells Sentinel-2 PALSAR-2 ASTER soil moisture ALOS-2 GA-BP water cloud model L-band SAR backscattering soil moisture content LAI HH and HV polarization flood NoBADI Florida Hurricane Irma synthetic aperture radar polarimetric radar co-polarized phase difference radar scattering vegetation radar applications agriculture leaf area index leave-one-out cross-validation oil palm radar vegetation index vegetation descriptors ecosystem carbon cycle L-band SAR vegetation index random forest regression plantation permafrost InSAR Qinghai-Tibet Plateau ALOS thermal melting collapse Sentinel-1A SBAS-InSAR heavy forest area potential landslide identification SAR-based landslide detection Growing Split-Based Approach (GSBA) Hokkaido landslide Putanpunas landslide SAR polarimetry model-free 3-component decomposition for full polarimetric data (MF3CF) radar polarimetry calibration Faraday rotation |
| ISBN | 3-0365-6105-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910639994803321 |
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Tadono Takeo
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Ancient and Archaic Genomes
| Ancient and Archaic Genomes |
| Autore | Caramelli David |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (108 p.) |
| Soggetto topico |
Biology, life sciences
Research & information: general |
| Soggetto non controllato |
ancient DNA
ancient mitogenome approximate Bayesian computation archaeology Bronze Age Carpathian Basin demographic history human human evolution Hungarian commoners Italy kinship machine learning medieval individuals migration mitochondrial DNA Mongolian horse multiple burial n/a Neolithic palaeogenomics paleogenomics phenotypic traits phylogeography population genetics random forest Transylvania whole-genome data |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557746203321 |
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Caramelli David
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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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Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass
| Applications of Remote Sensing Data in Mapping of Forest Growing Stock and Biomass |
| Autore | Aranha José |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (276 p.) |
| Soggetto topico |
Geography
Research and information: general |
| Soggetto non controllato |
above-ground biomass
aboveground biomass AGB estimation and mapping allometric equation ALOS DSM ALOS-2 L band SAR bark roughness bioenergy biomass density biomass estimation DBH diameter at breast height ecosystem services forest AGC estimation forest biomass estimation forest growing stock volume forest inventory data forest succession forest type GEOMON GIS individual tree detection landsat Landsat 8 OLI Landsat dataset leaf area index LiDAR machine learning machine learning algorithms mangroves map quality multiple ES interactions multisource remote sensing nondestructive method norway spruce ordinary kriging Pinus massoniana plantations plant area index random forest remote sensing seasonal images sentinel 2 Sentinel-1 C band SAR Sentinel-2 MSI Sentinel-2A shrubs biomass spatiotemporal evolution SPOT6 imagery stand volume stepwise regression subtropical forest subtropical forests support vector machine for regression synergy terrestrial laser scanning trade-off tree height UAV LiDAR urban vegetation valley basin variable selection vegetation indices WorldView-2 Xuzhou |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557474803321 |
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Aranha José
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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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