Electric Systems for Transportation |
Autore | Ruvio Alessandro |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (690 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
electric bus
vehicle selection road operation test sustainable development more electric aircraft (MEA) multilevel converter high power density electric vehicles (EVs) independent-drive technology deep reinforcement learning (DRL) optimal torque distribution wireless power transfer non-linear fast terminal sliding mode control power converters efficiency energy storage systems electrical power systems hydraulic power systems hydraulic accumulator ultracapacitor lithium-ion battery dual-polarization model fractional-order model SOC estimation hybrid Kalman filter vehicle–grid integration distribution network voltage regulation alternating direction method of multipliers railway transport eco-driving energy efficiency optimization algorithm power systems ancillary services EV motor inverter electrical installation on-board charger vehicle-to-home home energy management system hybrid electric bulldozer tracked vehicle control strategy adaptive control power smoothing electric vehicles public charging station bilevel model range constraint hybrid electric vehicles equivalent consumption minimization strategy power-split hybrid heavy-duty vehicles diesel engine natural gas engine hybrid powertrain supercapacitor fuel consumption mathematical modeling electric vehicle city bus gearbox transmission optimization hybrid electric vehicle power-split fuel economy particle swarm optimization route guidance strategies stochastic charging demands time-varying road network shift-by-wire (SBW) switched reluctance motor (SRM) non-uniform air-gap rotor hole placement torque ripple rotor structure electrical transport electrical vehicle marine transport railway battery electric vehicles signalized intersections energy-optimized vehicle trajectories vehicle dynamics model road freight transport vehicle stock turnover model deep decarbonization road freight vehicle electric-drive vehicle lithium-ion dQ/dV dV/dQ frequency regulation V2G G2V fault diagnosis PEM fuel cell system PFCM-ABC-SVM ultra-fast charging multimodule DC-DC converters dual active bridge DC-DC converter full-bridge phase-shift DC-DC converter input-series output-series input-series output-parallel input-parallel output-parallel input-parallel output-series input-series input-parallel output-series output-parallel battery aging plug-in electric vehicles energy management global optimization state of health particle swarm algorithm genetic algorithm simulation plug-in hybrid microgrid photovoltaic robust optimization stochastic optimization battery management systems battery fuel gauge state of charge power fade capacity fade robust estimation predictive control environmental impacts life cycle assessment review anti-lock braking system fuzzy logic system controller vehicle traffic signal control cost model total cost of ownership TCO charging strategy public transport sustainability reused battery adaptive control theory battery management system (BMS) internal resistances open-circuit voltage policy incentive public charging infrastructure power grid grid-side effects photovoltaic potentials controlled charging electric power systems transportation PV inverter |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557407803321 |
Ruvio Alessandro | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing |
Autore | Lee Saro |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (438 p.) |
Soggetto non controllato |
artificial neural network
model switching sensitivity analysis neural networks logit boost Qaidam Basin land subsidence land use/land cover (LULC) naïve Bayes multilayer perceptron convolutional neural networks single-class data descriptors logistic regression feature selection mapping particulate matter 10 (PM10) Bayes net gray-level co-occurrence matrix multi-scale Logistic Model Trees classification Panax notoginseng large scene coarse particle grayscale aerial image Gaofen-2 environmental variables variable selection spatial predictive models weights of evidence landslide prediction random forest boosted regression tree convolutional network Vietnam model validation colorization data mining techniques spatial predictions SCAI unmanned aerial vehicle high-resolution texture spatial sparse recovery landslide susceptibility map machine learning reproducible research constrained spatial smoothing support vector machine random forest regression model assessment information gain ALS point cloud bagging ensemble one-class classifiers leaf area index (LAI) landslide susceptibility landsat image ionospheric delay constraints spatial spline regression remote sensing image segmentation panchromatic Sentinel-2 remote sensing optical remote sensing materia medica resource GIS precise weighting change detection TRMM traffic CO crop training sample size convergence time object detection gully erosion deep learning classification-based learning transfer learning landslide traffic CO prediction hybrid model winter wheat spatial distribution logistic alternating direction method of multipliers hybrid structure convolutional neural networks geoherb predictive accuracy real-time precise point positioning spectral bands |
ISBN | 3-03921-216-8 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910367564103321 |
Lee Saro | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
The Future of Hyperspectral Imaging |
Autore | Selci Stefano |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (220 p.) |
Soggetto non controllato |
information theoretic analysis
multiplexing system HSI for biology point target detection digital elevation model neural networks oxygen saturation black polymers PZT blood detection multivariate analysis integral imaging hemispherical conical reflectance factor (HCRF) sprouting fluorescence multitemporal hyperspectral images plant phenotyping hyperspectral data mining and compression Raman medical imaging by HSI compressive detection stereo imaging image processing wound healing quality control lossless compression infrared hyperspectral imaging spectral tracking time series remote sensing diabetic foot ulcer classification Raman spectroscopy imaging fingerprints fusion wavelength selection Cramer–Rao lower bound three-dimensional imaging chemical imaging CS-MUSI total variation coastal dynamics forward observation model hyperspectral imaging fluorescence hyperspectral imaging age determination potatoes painting samples predictive coding hyperspectral video bi-directional reflectance distribution function (BRDF) optimal binary filters watercolours deep learning spectroscopy moving vehicle imaging sorting maximum likelihood multivariate data analysis interval partial least squares disease detection Raman hyperspectral imaging primordial leaf count machine learning spatial light modulators (SLM) Virginia Coast Reserve Long Term Ecological Research (VCR LTER) digital micromirror device (DMD) hyperspectral microscopy alternating direction method of multipliers statistical methods for HSI multiband image fusion digital light processor (DLP) linear mixture model retouching pigments liquid crystal principal component analysis Chemometrics compressive sensing PLSR Hyperspectral imaging |
ISBN | 3-03921-823-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910367743103321 |
Selci Stefano | ||
MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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