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Artificial Intelligence Applications to Smart City and Smart Enterprise
| Artificial Intelligence Applications to Smart City and Smart Enterprise |
| Autore | Impedovo Donato |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (374 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
spatio-temporal
residual networks bus traffic flow prediction advance rate shield performance principal component analysis ANFIS-GA tunnel online learning extreme learning machine cyclic dynamics transfer learning knowledge preservation Feature Adaptive optimization Bacterial Foraging algorithm Swarm Intelligence algorithm Isolated Microgrid traffic surveillance video state analysis Grassmann manifold neural network machine-learning quality of life Better Life Index bagging ensemble learning pedestrian attributes surveillance image semantic attributes recognition multi-label learning large-scale database traffic congestion detection minimizing traffic congestion traffic prediction deep learning urban mobility ITS Vehicle-to-Infrastructure neural networks LSTM embeddings trajectories motion behavior smart tourism driver’s behavior detection texting and driving convolutional neural network smart car smart cities smart infotainment driver distraction cameras convolution detection image recognition DSS diabetes prediction homecare assistance information system muti-attribute analysis artificial training dataset machine learning big data data analysis sensors Internet of Things vehicular networks VDTN routing message scheduling traffic flow prediction wavenet TrafficWave RNN GRU SAEs risk assessment neural architecture search recurrent neural network automated driving vehicle decision support system artificial intelligence disaster management Smart city program management integrated model smart city intelligence transportation system computer vision potential pedestrian safety data mining healthcare Apache Spark disease detection symptoms detection Arabic language Saudi dialect high performance computing (HPC) spatial-temporal dependencies traffic periodicity graph convolutional network traffic speed prediction vehicular traffic surveillance video big data analysis autonomous driving life quality pattern recognition |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557295703321 |
Impedovo Donato
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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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Corporate Bankruptcy Prediction : International Trends and Local Experience
| Corporate Bankruptcy Prediction : International Trends and Local Experience |
| Autore | Prusak Błażej |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (202 p.) |
| Soggetto topico | Economics, finance, business & management |
| Soggetto non controllato |
ISA 701
audit expectation gap key audit matters materiality Poland corporate bankruptcy forecasting fuzzy sets artificial neural networks decision trees bankruptcy prediction tax arrears payment defaults financial ratios failure bankruptcy chapter 11 regression count meta-analysis literature review manufacturing insolvency prediction citation mining classification credit risk modelling corporate failure rating systems ensemble classifiers boosting bagging stacking scoring models insolvency financial distress default forecasting methods models predicting financial distress phases of economic cycle Czech Republic European large companies bankruptcy risk company performance Principal Component Analysis neural networks support vector machine bankruptcy model |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Corporate Bankruptcy Prediction |
| Record Nr. | UNINA-9910557527203321 |
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Prusak Błażej
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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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Empirical Finance
| Empirical Finance |
| Autore | Hamori Shigeyuki |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (276 p.) |
| Soggetto non controllato |
short-term forecasting
wavelet transform IPO volatility US dollar institutional investors’ shareholdings neural network financial market stress market microstructure text similarity TVP-VAR model Japanese yen convolutional neural networks global financial crisis deep neural network cross-correlation function boosting causality-in-variance flight to quality bagging earnings quality algorithmic trading stop loss statistical arbitrage ensemble learning liquidity risk premium gold return futures market take profit currency crisis spark spread city banks piecewise regression model financial and non-financial variables exports data mining latency crude oil futures prices forecasting random forests wholesale electricity SVM random forest bank credit deep learning Vietnam inertia MACD initial public offering text mining bankruptcy prediction exchange rate asset pricing model LSTM panel data model structural break credit risk housing and stock markets copula ARDL earnings manipulation machine learning natural gas housing price asymmetric dependence real estate development loans earnings management cointegration predictive accuracy robust regression quantile regression dependence structure housing loans price discovery utility of international currency ATR |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346675203321 |
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Hamori Shigeyuki
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Entropy Applications in Environmental and Water Engineering
| Entropy Applications in Environmental and Water Engineering |
| Autore | Cui Huijuan |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (512 p.) |
| Soggetto non controllato |
hydrological risk analysis
modeling water level Poyang Lake basin trend composite multiscale sample entropy flood frequency analysis canopy flow precipitation water resources complex systems frequency analysis optimization combined forecast neural network forecast entropy spectral analysis time series analysis environmental engineering hydrometric network sea surface temperature kernel density estimation robustness turbulent flow entropy production connection entropy flux concentration relation turbulence tropical rainfall generalized gamma (GG) distribution multi-events El Niño joint entropy entropy weighting method Anhui Province changing environment complexity multiplicative cascades Tsallis entropy Hexi corridor coherent structures water resources vulnerability uncertainty variability flow entropy Hei River basin fuzzy analytic hierarchy process substitute crop yield conditional entropy production entropy flow duration curve mean annual runoff temperature hydrometeorological extremes resilience Loess Plateau information entropy scaling water distribution networks cross entropy randomness forewarning model entropy applications quaternary catchment spatio-temporal variability probability distribution function ant colony fuzzy clustering radar continuous probability distribution functions Shannon entropy informational entropy information confidence intervals marginal entropy rainfall forecast entropy of information streamflow power laws bootstrap aggregating maximum entropy-copula method spatial and dynamics characteristic projection pursuit set pair analysis entropy theory water resource carrying capacity entropy parameter precipitation frequency analysis principle of maximum entropy information theory stochastic processes network design complement cross elasticity climacogram methods of moments hydrology bagging principle of maximum entropy (POME) rainfall network entropy ensemble filter ensemble model simulation criterion Lagrangian function Beta-Lognormal model cross-entropy minimization ANN configurational entropy variation of information statistical scaling EEF method water monitoring maximum likelihood estimation GB2 distribution NDVI four-parameter exponential gamma distribution hydraulics spatial optimization Kolmogorov complexity bootstrap neural networks mutual information accelerating genetic algorithm groundwater depth rainfall tropical Pacific water engineering monthly streamflow forecasting ENSO nonlinear relation Bayesian technique non-point source pollution Burg entropy data-scarce scaling laws soil water content arid region land suitability evaluation information transfer |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346686803321 |
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Cui Huijuan
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
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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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