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Advanced Battery Technologies: New Applications and Management Systems
| Advanced Battery Technologies: New Applications and Management Systems |
| Autore | González Manuela |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (190 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
electric wheelchair
lithium-ion battery supercapacitor semiactive hybrid energy storage system smart energy management system kinetic battery model lithium-ion batteries nonlinear capacity fractional calculus ultrasonic sensing health monitoring state of health failure indication data fusion temperature-dependent second-order RC model SOC estimation dual Kalman filter state of charge battery parameters identification equivalent circuit model battery equalization flyback transformer topology commercial Li-ion testing RPT CtcV cell-to-cell variations traction battery LiFePO4 short-circuit deep discharge damage recovery SOC second-order RC equivalent circuit model system noise covariance observation noise covariance AUKF battery modeling battery chargers power supplies resonant inverters phase control |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Advanced Battery Technologies |
| Record Nr. | UNINA-9910557771103321 |
González Manuela
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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 Chemical Analysis Procedures (Part II) : Statistical and Chemometric Approaches
| Advances in Chemical Analysis Procedures (Part II) : Statistical and Chemometric Approaches |
| Autore | Locatelli Marcello |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (224 p.) |
| Soggetto topico | Medicine |
| Soggetto non controllato |
Paris polyphylla Smith var. yunnanensis
multivariate analysis chemometrics Fourier transform infrared amino acids reversed-phase liquid chromatography gradient elution retention prediction artificial neural network Macrohyporia cocos data fusion liquid chromatography fourier transform infrared spectroscopy partial least squares discriminant analysis authentication Gastrodia elata tuber quality evaluation HPLC QAMS Ranae Oviductus identification protein RP-HPLC fingerprint fish and seafood food authentication fingerprinting wild and farmed geographical origin vibrational spectroscopy absorption/fluorescence spectroscopy nuclear magnetic resonance hyperspectral imaging saffron adulteration food authenticity gas-chromatography eupatorin UHPLC-Q-TOF-MS/MS metabolism in vivo and in vitro rat liver microsomes rat intestinal flora untargeted metabolomics PARAFAC2 alignment gas chromatography–mass spectrometry (GC–MS) prostate carcinoma forced degradation degradation products stress test diatoms biogenic silica ATR-FTIR NAS quality control Raman spectroscopy honey PLS regression models physicochemical parameters |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Advances in Chemical Analysis Procedures |
| Record Nr. | UNINA-9910557507103321 |
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Locatelli Marcello
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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 Hyperspectral Data Exploitation
| Advances in Hyperspectral Data Exploitation |
| Autore | Chang Chein-I |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (434 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
hyperspectral image few-shot classification
deep learning meta-learning relation network convolutional neural network constrained-target optimal index factor band selection (CTOIFBS) hyperspectral image underwater spectral imaging system underwater hyperspectral target detection band selection (BS) constrained energy minimization (CEM) lightweight convolutional neural networks hyperspectral imagery classification transfer learning air temperature spatial measurement FTIR MWIR carbon dioxide absorption target detection coffee beans insect damage hyperspectral imaging band selection visualization color formation models multispectral image image fusion joint tensor decomposition anomaly detection constrained sparse representation hyperspectral imagery moving target detection spatio-temporal processing hyperspectral remote sensing image classification constraint representation superpixel segmentation multiscale decision fusion plug-and-play denoising nonlinear unmixing spectral reconstruction residual augmented attentional u-shape network spatial augmented attention channel augmented attention boundary-aware constraint atmospheric transmittance temperature emissivity separation midwave infrared hyperspectral images hyperspectral image super-resolution data fusion spectral-spatial residual network self-supervised training hyperspectral vegetation generative adversarial network data augmentation classification rice leaf blast hyperspectral imaging data deep convolutional neural networks fused features evolutionary computation heuristic algorithms machine learning unmanned aerial vehicles (UAVs) vegetation mapping upland swamps mine environment rice rice leaf folder hyperspectral image classification change detection self-supervised learning attention mechanism multi-source image fusion SFIM least square estimation spatial filter hyperspectral imaging (HSI) hyperspectral target detection hyperspectral reconstruction hyperspectral unmixing |
| ISBN | 3-0365-5796-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637782203321 |
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Chang Chein-I
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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 Mobile Mapping Technologies
| Advances in Mobile Mapping Technologies |
| Autore | Lehtola Ville |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (268 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
LiDAR
RetinaNet inception Mobile Laser Scanning point clouds data fusion Lidar point cloud density point cloud coverage mobile mapping systems 3D simulation Pandar64 Ouster OS-1-64 mobile laser scanning lever arm boresight angles plane-based calibration field configuration analysis accuracy controllability evaluation control points TLS reference point clouds visual–inertial odometry Helmert variance component estimation line feature matching method correlation coefficient point and line features mobile mapping manhole cover point cloud F-CNN transfer learning CAM localization loop closure detection visual SLAM semantic topology graph graph matching CNN features deep learning view planning imaging network design building 3D modelling path planning V-SLAM real-time guidance embedded-systems 3D surveying exposure control photogrammetry parking statistics vehicle detection robot operating system 3D camera RGB-D performance evaluation convolutional neural networks smart city georeferencing MSS IEKF DSIEKF geometrical constraints 6-DoF DTM 3D city model dataset laser scanning 3D mapping synthetic outdoor semantic scene completion |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566470903321 |
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Lehtola Ville
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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 Near Infrared Spectroscopy and Related Computational Methods
| Advances in Near Infrared Spectroscopy and Related Computational Methods |
| Autore | Bec Krzysztof B |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (496 p.) |
| Soggetto non controllato |
pocket-sized spectrometer
standard germination tests total hydroxycinnamic derivatives hyperspectral image quantitative analysis modeling tissue chemotherapy FTIR spectroscopy cheese biomeasurements chemometrics affine invariance rapid identification biodiagnosis bioanalytical applications fat NIRS pixel-wise paraffin-embedded late preterm maize kernel photonics hyperspectral image processing image processing colorectal cancer test set validation deep convolutional neural network near-infrared fluorescence classification variety discrimination near-infrared hyperspectral imaging ensemble learning light origin traceability Paris polyphylla var. yunnanensis Fourier transform mid-infrared spectroscopy dry matter Fourier transform infrared spectroscopy hyperspectral imaging FT-NIR spectroscopy proximal sensing perfusion measurements near-infrared spectroscopy stained carotenoids cellular imaging perturbation direct model transferability clinical classifications counterfeit and substandard pharmaceuticals hyperspectral imaging technology spectral imaging SVM nutritional parameters extra virgin olive oil ethanol osteopathy living cells object-wise water-mirror approach Chrysanthemum bootstrapping soft shrinkage FTIR PLS-R multivariate data analysis combination bands binary dragonfly algorithm geographical origin Vitis vinifera L. glucose detection di-(2-picolyl)amine non-destructive sensor splanchnic adulteration animal origin melamine artemether MicroNIR™ brain fluorescent probes Folin-Ciocalteu SCiO support vector machine anharmonic quantum mechanical calculations PLSR Zn(II) RMSEP overtones blackberries pasta/sauce blends FT-IR partial least squares calibration partial least squares (PLS) auxiliary diagnosis handheld near-infrared spectroscopy precision viticulture partial least squares seeds vitality freeze-damaged near infrared discriminant analysis corn seed quantum chemical calculation anharmonic calculation Trichosanthis Fructus moisture analytical spectroscopy Raman spectroscopy NIR spectroscopy calibration transfer imaging water lumefantrine BRAF V600E mutation wavelength selection bone cancer imaging visualization near infrared spectroscopy raisins chemometric techniques data fusion prepared slices Ewing sarcoma biomonitoring Rubus fructicosus VIS/NIR hyperspectral imaging combinations bands quantitative analysis model partial least square regression DFT calculations TreeBagger antimalarial tablets accelerated aging agriculture crude drugs spectroscopy rice seeds PLS isotopic substitution multivariate calibration phytoextraction Fourier-transform near-infrared spectroscopy phenolics deparaffinized near-infrared (NIR) spectroscopy SIMCA counter propagation artificial neural network fructose PLS-DA ultra-high performance liquid chromatography aquaphotomics support vector machine-discriminant analysis hier-SVM DNA NIR support vector machine model API principal component analysis |
| ISBN | 3-03928-053-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910372786503321 |
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Bec Krzysztof B
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| 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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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 electronic resource (352 p.) |
| Soggetto topico |
Research & information: general
Environmental economics |
| Soggetto non controllato |
forest structure change
EBLUP small area estimation multitemporal LiDAR and stand-level estimates forest cover Sentinel-1 Sentinel-2 data fusion machine-learning Germany South Africa temperate forest savanna classification Sentinel 2 land use land cover improved k-NN logistic regression random forest support vector machine statistical estimator IPCC good practice guidelines activity data emissions factor removals factor Picea crassifolia Kom compatible equation nonlinear seemingly unrelated regression error-in-variable modeling leave-one-out cross-validation digital surface model digital terrain model canopy height model constrained neighbor interpolation ordinary neighbor interpolation point cloud density stereo imagery remotely sensed LAI field measured LAI validation magnitude uncertainty temporal dynamics state space models forest disturbance mapping near real-time monitoring CUSUM NRT monitoring deforestation degradation tropical forest tropical peat forest type deep learning FCN8s CRFasRNN GF2 dual-FCN8s random forests error propagation bootstrapping Landsat LiDAR La Rioja forest area change data assessment uncertainty evaluation inconsistency forest monitoring drought time series satellite data Bowen ratio carbon flux boreal forest windstorm damage synthetic aperture radar C-band genetic algorithm multinomial logistic regression |
| 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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Bistatic HF Radar
| Bistatic HF Radar |
| Autore | Anderson Stuart |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (204 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
bistatic HF radar
radar cross section (RCS) sea clutter shore-to-air bistatic HF radar scattering coefficient Doppler spectra cyclic cross ambiguity function data fusion GPS multiple satellites collaboration passive detection HFSWR target tracking interacting multiple model extended Kalman filter track association extreme learning machine HF radar remote sensing inversion radar cross section bistatic radar directional wave spectrum bistatic HFSWR shipborne HFSWR first-order sea clutter experiment verification electromagnetic scattering radio oceanography OTH radar compact HFSWR bistatic configuration target detection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557296503321 |
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Anderson Stuart
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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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Computational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications
| Computational Intelligence for Modeling, Control, Optimization, Forecasting and Diagnostics in Photovoltaic Applications |
| Autore | Vitelli Massimo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (280 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
sensor network
data fusion complex network analysis fault prognosis photovoltaic plants ANFIS statistical method gradient descent photovoltaic system sustainable development PV power prediction artificial neural network renewable energy environmental parameters multiple regression model moth-flame optimization parameter extraction photovoltaic model double flames generation (DFG) strategy Solar cell parameters single-diode model two-diode model COA photovoltaic systems maximum power point tracking single stage grid connected systems solar concentrator spectral beam splitting diffractive optical element diffractive grating PVs power output forecasting adaptive neuro-fuzzy inference systems particle swarm optimization-artificial neural networks solar irradiation photovoltaic power prediction publicly available weather reports machine learning long short-term memory integrated energy systems smart energy management PV fleet clustering-based PV fault detection unsupervised learning self-imputation implicit model solution photovoltaic array series–parallel global optimization partial shading deterministic optimization algorithm metaheuristic optimization algorithm genetic algorithm solar cell optimization finite difference time domain optical modelling thermal image photovoltaic module hot spot image processing deterioration linear approximation MPPT algorithm duty cycle global horizontal irradiance mathematical modeling feed-forward neural networks recurrent neural networks LSTM cell performances evaluation clear sky irradiance persistent predictor photovoltaics artificial neural networks national power system |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557297703321 |
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Vitelli Massimo
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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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Deep Learning Applications with Practical Measured Results in Electronics Industries
| Deep Learning Applications with Practical Measured Results in Electronics Industries |
| Autore | Kung Hsu-Yang |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (272 p.) |
| Soggetto non controllato |
faster region-based CNN
visual tracking intelligent tire manufacturing eye-tracking device neural networks A* information measure oral evaluation GSA-BP tire quality assessment humidity sensor rigid body kinematics intelligent surveillance residual networks imaging confocal microscope update mechanism multiple linear regression geometric errors correction data partition Imaging Confocal Microscope image inpainting lateral stage errors dot grid target K-means clustering unsupervised learning recommender system underground mines digital shearography optimization techniques saliency information gated recurrent unit multivariate time series forecasting multivariate temporal convolutional network foreign object data fusion update occasion generative adversarial network CNN compressed sensing background model image compression supervised learning geometric errors UAV nonlinear optimization reinforcement learning convolutional network neuro-fuzzy systems deep learning image restoration neural audio caption hyperspectral image classification neighborhood noise reduction GA MCM uncertainty evaluation binary classification content reconstruction kinematic modelling long short-term memory transfer learning network layer contribution instance segmentation smart grid unmanned aerial vehicle forecasting trajectory planning discrete wavelet transform machine learning computational intelligence tire bubble defects offshore wind multiple constraints human computer interaction Least Squares method |
| ISBN | 3-03928-864-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404080403321 |
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Kung Hsu-Yang
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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