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Advanced Methods of Power Load Forecasting
| Advanced Methods of Power Load Forecasting |
| Autore | García-Díaz J. Carlos |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (128 p.) |
| Soggetto topico |
Research & information: general
Physics |
| Soggetto non controllato |
Prophet model
Holt–Winters model long-term forecasting peak load prophet model multiple seasonality time series demand load forecast DIMS irregular galvanizing short-term electrical load forecasting machine learning deep learning statistical analysis parameters tuning CNN LSTM short-term load forecast Artificial Neural Network deep neural network recurrent neural network attention encoder decoder online training bidirectional long short-term memory multi-layer stacked neural network short-term load forecasting power system |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576883403321 |
García-Díaz J. Carlos
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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 Public Transport Platform for the Development of Sustainability Cities
| Advances in Public Transport Platform for the Development of Sustainability Cities |
| Autore | Corchado Juan M |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (346 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Environmental science, engineering & technology |
| Soggetto non controllato |
optimization models
timetable passenger waiting time vehicle occupancy ratio intelligent transportation systems demand prediction taxi recommendation vehicle social network ride-hailing urban rail transit (URT) exploratory data analysis (EDA) data envelopment analysis (DEA) sustainable transport systems intelligent transportation systems (ITS) big-data applications dynamic bus travel time prediction wide and deep data fusion attention recurrent neural network deep neural networks intelligent transportation railway CPS security safety critical infrastructure carsharing data analysis delays demand public transit taxi complex network analysis centrality measures network robustness ridership patterns clustering analysis passenger flow Barcelona underground artificial intelligence Big Data analytics forecasting systems recommender system Fintech passenger traffic artificial neural network regression analysis reputation algorithm users' reputation transport software application deep learning energy consumption sustainable cities transfer learning wastewater treatment plants unmanned aerial vehicles (UAVs) multi-objective optimization integer programming GLPK variable neighborhood search search and rescue learning recommender system learning object learning videos content-based collaborative filtering users' profiling data extraction natural language processing mapping application time series forecasting HTM regression machine intelligence cyber-attack detection IoT trust energy trading trusted negotiations |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566472003321 |
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Corchado Juan M
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
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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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Development of Unconventional Reservoirs 2020
| Development of Unconventional Reservoirs 2020 |
| Autore | Rezaee Reza |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (748 p.) |
| Soggetto topico |
Research & information: general
Technology: general issues |
| Soggetto non controllato |
bedding fractures
failure criterion lamina tight oil tight sandstone finite element simulation numerical simulation unconventional reservoir permeability group method of data handling artificial neural network well logs sensitivity analysis tight gas reservoir multi-fractured horizontal well (MFHW) unstable productivity model productivity forecast influencing factor analysis horizontal well with multiple finite-conductivity fractures elliptical-shaped drainage productivity index non-Darcy flow pressure-dependent conductivity reservoir properties void space structure porosity complex rocks NMR MICP CT SEM coal-bearing tight sandstone organic-rich clasts occurrence classifications formation mechanisms Ordos Basin hydraulic fracturing fracturing fluids fluids-rock interaction environmental implication history matching semianalytic model unconventional gas reservoirs multistage fractured horizontal wells fractal theory pore structure heterogeneity NMR measurements multifractal analysis shale reservoir elastic properties brittleness rock physics brittle spot identification shale gas reservoir characteristics gas content eastern Sichuan Basin the Da’anzhai member pulse decay method gas adsorption dual media unconventional core natural fracture influencing factor oil production carbonate rock basement reservoir Jizhong Sub-basin dynamic pore network modeling shale reservoirs water imbibition discrete element method modified fluid-mechanical coupling algorithm injection sequence well spacing stress shadow effect seismic location microseismic events waveform stacking induced seismicity CBM surfactant solid-free drilling fluid CBM reservoir wettability machine learning lithofacies umiat Alaska proppant transportation cross fractures CFD simulation dimensional analysis equilibrium proppant height coalbed methane Lattice Boltzmann method gas diffusion adsorption–desorption pore-scale clay minerals pore structures tight gas reservoirs Xujiaweizi Rift Northern Songliao Basin methane adsorption isotherm coal properties gradient boosting decision tree estimation model shale gas reservoir geology Gibbs excess adsorption supercritical adsorption gas viscosity high voltage spark discharge electrohydraulic effect electrical conductivity drilling rock damage pressure waves water fracturing turbulence effect Eulerian multiphase modeling proppant transport mechanism equilibrium height prediction model adaptive filtering complex noise canceling electromagnetic telemetry multifractured horizontal wells production analysis irregular stimulated region natural gas hydrate seismic modeling fractional derivatives gas geochemical characteristics noble gas shale gas evolution Large Igneous Province (LIP) gas loss geological structure gas controlling pattern neutral surface tectonic movement Bumu region seismic interpretation depositional environments characteristics Wheeler diagram seismic attributes heterogeneous sequence sample size neutron scattering mercury injection capillary pressure adsorption shale junggar basin hong-che fault zone carboniferous volcanic reservoir main controlling factors of hydrocarbon accumulation fracture vug micro CT carbonate wave velocity amorphous SiO2 X-ray diffraction X-ray fluorescence spectrometry scanning electron microscope quantitative analysis void ratio FEM ABAQUS matrix porosity kerogen porosity water saturation gas hydrate saturation deep learning recurrent neural network molecular simulation enhanced oil recovery methane shale petroleum technological development patent network analysis imbibition osmosis unconventional formations EOR water flooding |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557332603321 |
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Rezaee Reza
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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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Land Use and Water Quality
| Land Use and Water Quality |
| Autore | Kronvang Brian |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (248 p.) |
| Soggetto topico |
Research & information: general
Environmental economics |
| Soggetto non controllato |
nitrate
groundwater source apportionment modelling nitrogen sources leachate rate water quality machine learning recurrent neural network PCA DST software model drinking water diffuse pollution catchment management farm management farm advisors agricultural impact stream nitrogen concentration nitrogen losses eutrophication N sources spatiotemporal patterns of pollution N transport processes Qiandao Lake Basin fertilization stream water pollution land use pattern scale effect redundancy analysis urbanization nitrogen budget nitrogen balance water pollution nitrates agriculture deficit analysis phosphorus inland surface waters Water Framework Directive LAWA Schleswig-Holstein climate change land management extreme weather events concentration–discharge relationship export behaviour hysteresis lag times link indicator DPLSIR framework land use nutrients surplus management mitigation measures monitoring and mapping technologies |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557534403321 |
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Kronvang Brian
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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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Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)
| Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS) |
| Autore | Tang Bo |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (344 p.) |
| Soggetto non controllato |
FPGA
recurrence plot (RP) residual learning neural networks driver monitoring navigation depthwise separable convolution optimization dynamic path-planning algorithms object tracking sub-region cooperative systems convolutional neural networks DSRC VANET joystick road scene convolutional neural network (CNN) multi-sensor p-norm occlusion crash injury severity prediction deep leaning squeeze-and-excitation electric vehicles perception in challenging conditions T-S fuzzy neural network total vehicle mass of the front vehicle electrocardiogram (ECG) communications generative adversarial nets camera adaptive classifier updating Vehicle-to-X communications convolutional neural network predictive Geobroadcast infinity norm urban object detector machine learning automated-manual transition red light-running behaviors photoplethysmogram (PPG) panoramic image dataset parallel architectures visual tracking autopilot ADAS kinematic control GPU road lane detection obstacle detection and classification Gabor convolution kernel autonomous vehicle Intelligent Transport Systems driving decision-making model Gaussian kernel autonomous vehicles enhanced learning ethical and legal factors kernel based MIL algorithm image inpainting fusion terrestrial vehicle driverless drowsiness detection map generation object detection interface machine vision driving assistance blind spot detection deep learning relative speed autonomous driving assistance system discriminative correlation filter bank recurrent neural network emergency decisions LiDAR real-time object detection vehicle dynamics path planning actuation systems maneuver algorithm autonomous driving smart band the emergency situations two-wheeled support vector machine model global region biological vision automated driving |
| ISBN | 3-03921-376-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Machine Learning and Embedded Computing in Advanced Driver Assistance Systems |
| Record Nr. | UNINA-9910367757403321 |
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Tang Bo
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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 Methods with Noisy, Incomplete or Small Datasets
| Machine Learning Methods with Noisy, Incomplete or Small Datasets |
| Autore | Solé-Casals Jordi |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (316 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
open contours
similarly shaped fish species Discrete Cosine Transform (DCT) Discrete Fourier Transform (DFT) Extreme Learning Machines (ELM) feature engineering small data-sets optimization machine learning preprocessing image generation weighted interpolation map binarization single sample per person root canal measurement multifrequency impedance data augmentation neural network functional magnetic resonance imaging independent component analysis deep learning recurrent neural network functional connectivity episodic memory small sample learning feature selection noise elimination space consistency label correlations empirical mode decomposition sparse representations tensor decomposition tensor completion machine translation pairwise evaluation educational data small datasets noisy datasets smart building Internet of Things (IoT) Markov Chain Monte Carlo (MCMC) ontology graph model Artificial Neural Network Discriminant Analysis dengue feature extraction sound event detection non-negative matrix factorization ultrasound images shadow detection shadow estimation auto-encoders semi-supervised learning prediction feature importance feature elimination hierarchical clustering Parkinson’s disease few-shot learning permutation-variable importance topological data analysis persistent entropy support-vector machine data science intelligent decision support social vulnerability gender-gap digital-gap COVID19 policy-making support artificial intelligence imperfect dataset |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557324603321 |
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Solé-Casals Jordi
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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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Mobile Diagnosis 2.0
| Mobile Diagnosis 2.0 |
| Autore | Ray Aniruddha |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (114 p.) |
| Soggetto topico | Medicine |
| Soggetto non controllato |
Zika NS1
point of care colorimetric smartphone microfluidic inertial sensors pediatric neurological disease kinematics motor activity depression depressive episodes data mining random forest night Parkinson's disease recurrent neural network motion sensor monitoring the condition of patients fever NMFI mobile laboratory RPA DENV mobile applications diagnostic equipment headache migraine postural balance visual motor coordination vestibular function tests infectious diseases diagnostics point-of-care devices microfluidics plasmonics lensless imaging |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557490503321 |
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Ray Aniruddha
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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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