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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 online resource (128 p.) |
| Soggetto topico |
Physics
Research and information: general |
| Soggetto non controllato |
Artificial Neural Network
attention bidirectional long short-term memory CNN deep learning deep neural network demand DIMS encoder decoder forecast galvanizing Holt-Winters model irregular load long-term forecasting LSTM machine learning multi-layer stacked multiple seasonality neural network online training parameters tuning peak load power system prophet model Prophet model recurrent neural network short-term electrical load forecasting short-term load forecast short-term load forecasting statistical analysis time series |
| 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 online resource (346 p.) |
| Soggetto topico |
Environmental science, engineering and technology
History of engineering and technology Technology: general issues |
| Soggetto non controllato |
artificial intelligence
artificial neural network attention Barcelona underground Big Data analytics big-data applications carsharing centrality measures clustering analysis collaborative filtering complex network analysis content-based CPS critical infrastructure cyber-attack detection data analysis data envelopment analysis (DEA) data extraction data fusion deep learning deep neural networks delays demand demand prediction dynamic bus travel time prediction energy consumption energy trading exploratory data analysis (EDA) Fintech forecasting systems GLPK HTM integer programming intelligent transportation intelligent transportation systems intelligent transportation systems (ITS) IoT learning object learning recommender system learning videos machine intelligence mapping application multi-objective optimization n/a natural language processing network robustness optimization models passenger flow passenger traffic passenger waiting time public transit railway recommender system recurrent neural network regression regression analysis reputation algorithm ride-hailing ridership patterns safety search and rescue security software application sustainable cities sustainable transport systems taxi taxi recommendation time series forecasting timetable transfer learning transport trust trusted negotiations unmanned aerial vehicles (UAVs) urban rail transit (URT) users' profiling users' reputation variable neighborhood search vehicle occupancy ratio vehicle social network wastewater treatment plants wide and deep |
| 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 online resource (374 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
advance rate
ANFIS-GA Apache Spark Arabic language artificial intelligence artificial training dataset automated driving vehicle autonomous driving Bacterial Foraging algorithm bagging Better Life Index big data big data analysis bus traffic flow prediction cameras computer vision convolution convolutional neural network cyclic dynamics data analysis data mining decision support system deep learning detection diabetes prediction disaster management disease detection driver distraction driver's behavior detection DSS embeddings ensemble learning extreme learning machine Feature Adaptive graph convolutional network Grassmann manifold GRU healthcare high performance computing (HPC) homecare assistance information system image recognition integrated model intelligence transportation system Internet of Things Isolated Microgrid ITS knowledge preservation large-scale database life quality LSTM machine learning machine-learning message scheduling minimizing traffic congestion motion behavior multi-label learning muti-attribute analysis neural architecture search neural network neural networks online learning optimization pattern recognition pedestrian attributes potential pedestrian safety principal component analysis program management quality of life recurrent neural network residual networks risk assessment RNN routing SAEs Saudi dialect semantic attributes recognition sensors shield performance smart car smart cities smart city Smart city smart infotainment smart tourism spatial-temporal dependencies spatio-temporal state analysis surveillance image surveillance video Swarm Intelligence algorithm symptoms detection texting and driving traffic congestion detection traffic flow prediction traffic periodicity traffic prediction traffic speed prediction traffic surveillance video TrafficWave trajectories transfer learning tunnel urban mobility VDTN Vehicle-to-Infrastructure vehicular networks vehicular traffic wavenet |
| 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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Biomolecular Data Science-in Honor of Professor Philip E. Bourne
| Biomolecular Data Science-in Honor of Professor Philip E. Bourne |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2023 |
| Descrizione fisica | 1 online resource (232 p.) |
| Soggetto topico |
Biology, life sciences
Research & information: general |
| Soggetto non controllato |
amino acids
and graph neural network APOBEC basal cells binding energy bioinformatics biological macromolecules carbohydrates cell-type composition census tract ciliated cells CRISPR/Cas9 cryogenic electron microscopy cryogenic electron tomography data science deep learning DNA DNA sequencing drug discovery drug repositioning drugs of abuse electron crystallography electronic health records entropy FAIR function annotation functional families genome editing goblet cells graph neural network immune response to smoking kernel classifiers kernel method KinBase classification KinFams large language models ligand binding sites lung cancers machine learning macromolecular crystallography metagenomics micro-electron diffraction MSA mutational signatures n/a nuclear magnetic resonance spectroscopy nucleic acids off-targets Open Access pharmacovigilance Philip Bourne prioritization algorithm Protein Data Bank protein database protein kinases proteins quantum machine learning quantum metric learning reaction template read classification real-world evidence recurrent neural network retrosynthesis RNA search tool SHAP values small-molecule ligands smoking social determinants of health social media specificity annotation structural bioinformatics structure-based drug discovery variability Worldwide Protein Data Bank |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911053031203321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2023 | ||
| 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 online resource (748 p.) |
| Soggetto topico |
Research & information: general
Technology: general issues |
| Soggetto non controllato |
ABAQUS
adaptive filtering adsorption adsorption-desorption Alaska amorphous SiO2 artificial neural network basement reservoir bedding fractures brittle spot identification brittleness Bumu region carbonate carbonate rock carboniferous CBM CBM reservoir wettability CFD simulation classifications clay minerals coal properties coal-bearing tight sandstone coalbed methane complex noise canceling complex rocks cross fractures CT deep learning depositional environments characteristics dimensional analysis discrete element method drilling dual media dynamic pore network modeling eastern Sichuan Basin elastic properties electrical conductivity electrohydraulic effect electromagnetic telemetry elliptical-shaped drainage enhanced oil recovery environmental implication EOR equilibrium height prediction model equilibrium proppant height estimation model Eulerian multiphase modeling failure criterion FEM finite element simulation fluids-rock interaction formation mechanisms fractal theory fractional derivatives fracture fracturing fluids gas adsorption gas content gas controlling pattern gas diffusion gas geochemical characteristics gas hydrate gas loss gas viscosity geological structure geology Gibbs excess adsorption gradient boosting decision tree group method of data handling heterogeneity heterogeneous sequence high voltage spark discharge history matching hong-che fault zone horizontal well with multiple finite-conductivity fractures hydraulic fracturing imbibition induced seismicity influencing factor influencing factor analysis injection sequence irregular stimulated region Jizhong Sub-basin junggar basin kerogen porosity lamina Large Igneous Province (LIP) Lattice Boltzmann method lithofacies machine learning main controlling factors of hydrocarbon accumulation matrix porosity mercury injection capillary pressure methane methane adsorption isotherm MICP micro CT microseismic events modified fluid-mechanical coupling algorithm molecular simulation multi-fractured horizontal well (MFHW) multifractal analysis multifractured horizontal wells multistage fractured horizontal wells natural fracture natural gas hydrate network analysis neutral surface neutron scattering NMR NMR measurements noble gas non-Darcy flow Northern Songliao Basin numerical simulation occurrence oil production Ordos Basin organic-rich clasts osmosis patent permeability pore structure pore structures pore-scale porosity pressure waves pressure-dependent conductivity production analysis productivity forecast productivity index proppant transport mechanism proppant transportation pulse decay method quantitative analysis recurrent neural network reservoir characteristics reservoir properties rock damage rock physics sample size saturation scanning electron microscope seismic attributes seismic interpretation seismic location seismic modeling SEM semianalytic model sensitivity analysis shale shale gas shale gas evolution shale gas reservoir shale petroleum shale reservoir shale reservoirs solid-free drilling fluid stress shadow effect supercritical adsorption surfactant technological development tectonic movement the Da'anzhai member tight gas reservoir tight gas reservoirs tight oil tight sandstone turbulence effect umiat unconventional core unconventional formations unconventional gas reservoirs unconventional reservoir unstable productivity model void ratio void space structure volcanic reservoir vug water flooding water fracturing water imbibition water saturation wave velocity waveform stacking well logs well spacing Wheeler diagram X-ray diffraction X-ray fluorescence spectrometry Xujiaweizi Rift |
| 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 online resource (248 p.) |
| Soggetto topico |
Environmental economics
Research and information: general |
| Soggetto non controllato |
agricultural impact
agriculture catchment management climate change concentration-discharge relationship deficit analysis diffuse pollution DPLSIR framework drinking water DST eutrophication export behaviour extreme weather events farm advisors farm management fertilization groundwater hysteresis inland surface waters lag times land management land use land use pattern LAWA leachate rate link indicator machine learning management mitigation measures model modelling monitoring and mapping technologies N sources N transport processes nitrate nitrates nitrogen balance nitrogen budget nitrogen concentration nitrogen losses nitrogen sources nutrients PCA phosphorus Qiandao Lake Basin recurrent neural network redundancy analysis scale effect Schleswig-Holstein software source apportionment spatiotemporal patterns of pollution stream stream water pollution surplus urbanization Water Framework Directive water pollution water quality |
| 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) / John Ball, Bo Tang
| Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS) / John Ball, Bo Tang |
| Autore | Ball John |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (344 p.) |
| Soggetto topico | History of engineering and technology |
| 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 |
9783039213764
3039213768 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367757403321 |
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Ball John
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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 online resource (316 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
artificial intelligence
Artificial Neural Network auto-encoders binarization COVID19 data augmentation data science deep learning dengue digital-gap Discrete Cosine Transform (DCT) Discrete Fourier Transform (DFT) Discriminant Analysis educational data empirical mode decomposition episodic memory Extreme Learning Machines (ELM) feature elimination feature engineering feature extraction feature importance feature selection few-shot learning functional connectivity functional magnetic resonance imaging gender-gap graph model hierarchical clustering image generation imperfect dataset independent component analysis intelligent decision support Internet of Things (IoT) label correlations machine learning machine translation Markov Chain Monte Carlo (MCMC) multifrequency impedance neural network noise elimination noisy datasets non-negative matrix factorization ontology open contours optimization pairwise evaluation Parkinson's disease permutation-variable importance persistent entropy policy-making support prediction preprocessing recurrent neural network root canal measurement semi-supervised learning shadow detection shadow estimation similarly shaped fish species single sample per person small data-sets small datasets small sample learning smart building social vulnerability sound event detection space consistency sparse representations support-vector machine tensor completion tensor decomposition topological data analysis ultrasound images weighted interpolation map |
| 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 online resource (114 p.) |
| Soggetto topico | Medicine |
| Soggetto non controllato |
colorimetric
data mining DENV depression depressive episodes diagnostic equipment diagnostics fever headache inertial sensors infectious diseases kinematics lensless imaging microfluidic microfluidics migraine mobile applications mobile laboratory monitoring the condition of patients motion sensor motor activity n/a night NMFI Parkinson's disease pediatric neurological disease plasmonics point of care point-of-care devices postural balance random forest recurrent neural network RPA smartphone vestibular function tests visual motor coordination Zika NS1 |
| 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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