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Augmented Reality, Virtual Reality & Semantic 3D Reconstruction
| Augmented Reality, Virtual Reality & Semantic 3D Reconstruction |
| Autore | Lv Zhihan |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (304 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
feature tracking
superpixel structure from motion three-dimensional reconstruction local feature multi-view stereo construction hazard safety education photoreality virtual reality anatomization audio classification olfactory display deep learning transfer learning inception model augmented reality higher education scientific production web of science bibliometric analysis scientific mapping applications in subject areas interactive learning environments 3P model primary education educational technology mobile lip reading system lightweight neural network face correction virtual reality (VR) computer vision projection mapping 3D face model super-resolution radial curve Dynamic Time Warping semantic 3D reconstruction eye-in-hand vision system robotic manipulator probabilistic fusion graph-based refinement 3D modelling 3D representation game engine laser scanning panoramic photography super-resolution reconstruction generative adversarial networks dense convolutional networks texture loss WGAN-GP orientation positioning viewpoint image matching algorithm transformation ADHD EDAH assessment continuous performance test Photometric Stereo (PS) 3D reconstruction fully convolutional network (FCN) semi-immersive virtual reality children cooperative games empowerment perception motor planning problem-solving area of interest wayfinding spatial information one-shot learning gesture recognition GREN skeleton-based 3D composition pre-visualization stereo vision 360° video |
| ISBN | 3-0365-6062-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910639985103321 |
Lv Zhihan
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Biometric Systems
| Biometric Systems |
| Autore | Nanni Loris |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (352 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
online signature verification
shape contexts function features SC-DTW symbolic representation two-stage method finger features multimodal recognition local coding Gabor filter LGS human identification biomarker ECG machine learning Physionet Lviv Biometric Dataset biometry identification bloodstream image recognition multi-biometrics bit planes block mutual information cross-device dorsal hand vein recognition person re-identification superpixel temporally aligned pooling walking cycle automatic recognition face voice body motion autism spectrum disorder (ASD) assessment intervention curve similarity curve similarity model curve similarity transformation similarity distance segmentation matching evolutionary computation finger vein recognition hand vein recognition contactless acquisition device public vascular pattern dataset biometric recognition performance evaluation face verification optical correlation Hausdorff distance image classification face detection depth map ensemble filtering geometric deep learning ear detection structured prediction semantic segmentation rotation equivariance Gaussian mixture model superpixels face recognition systems person identification biometric systems survey automatic signature verification touch-screen sensor data quality enrollment phase performance assessment augmented signature security enhancement mobile conditions biometric recognition visible light iris images image quality assessment image covariates quality filtering vascular biometric recognition wrist vein recognition contactless dataset pattern recognition infrared camera non-contact devices Scale-Invariant Feature Transform (SIFT®) Speeded Up Robust Features (SURF®) Oriented FAST and Rotated BRIEF (ORB) fingerprint presentation attack detection deep learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557789403321 |
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Nanni Loris
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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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Flood Forecasting Using Machine Learning Methods
| Flood Forecasting Using Machine Learning Methods |
| Autore | Chang Fi-John |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (376 p.) |
| Soggetto non controllato |
natural hazards &
artificial neural network flood routing the Three Gorges Dam backtracking search optimization algorithm (BSA) lag analysis artificial intelligence classification and regression trees (CART) decision tree real-time optimization ensemble empirical mode decomposition (EEMD) improved bat algorithm convolutional neural networks ANFIS method of tracking energy differences (MTED) adaptive neuro-fuzzy inference system (ANFIS) recurrent nonlinear autoregressive with exogenous inputs (RNARX) disasters flood prediction ANN-based models flood inundation map ensemble machine learning flood forecast sensitivity hydrologic models phase space reconstruction water level forecast data forward prediction early flood warning systems bees algorithm random forest uncertainty soft computing data science hydrometeorology LSTM rating curve method forecasting superpixel particle swarm optimization high-resolution remote-sensing images machine learning support vector machine Lower Yellow River extreme event management runoff series empirical wavelet transform Muskingum model hydrograph predictions bat algorithm data scarce basins Wilson flood self-organizing map big data extreme learning machine (ELM) hydroinformatics nonlinear Muskingum model invasive weed optimization rainfall–runoff flood forecasting artificial neural networks flash-flood streamflow predictions precipitation-runoff the upper Yangtze River survey parameters Haraz watershed ANN time series prediction postprocessing flood susceptibility modeling rainfall-runoff deep learning database LSTM network ensemble technique hybrid neural network self-organizing map (SOM) data assimilation particle filter algorithm monthly streamflow forecasting Dongting Lake machine learning methods micro-model stopping criteria Google Maps cultural algorithm wolf pack algorithm flood events urban water bodies Karahan flood St. Venant equations hybrid & hydrologic model |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346688303321 |
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Chang Fi-John
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Hyperspectral Imaging and Applications
| Hyperspectral Imaging and Applications |
| Autore | Chang Chein-I |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (632 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
biodiversity
peatland vegetation type classification hyperspectral in situ measurements hyperspectral image (HSI) multiscale union regions adaptive sparse representation (MURASR) multiscale spatial information imaging spectroscopy airborne laser scanning minimum noise fraction class imbalance Africa agroforestry tree species hyperspectral unmixing endmember extraction band selection spectral variability prototype space ensemble learning rotation forest semi-supervised local discriminant analysis optical spectral region thermal infrared spectral region mineral mapping data integration HyMap AHS raw material remote sensing nonnegative matrix factorization data-guided constraints sparseness evenness hashing ensemble hierarchical feature hyperspectral classification band expansion process (BEP) constrained energy minimization (CEM) correlation band expansion process (CBEP) iterative CEM (ICEM) nonlinear band expansion (NBE) Otsu’s method sparse unmixing local abundance nuclear norm hyperspectral detection target detection sprout detection constrained energy minimization iterative algorithm adaptive window hyperspectral imagery recursive anomaly detection local summation RX detector (LS-RXD) sliding window band selection (BS) band subset selection (BSS) hyperspectral image classification linearly constrained minimum variance (LCMV) successive LCMV-BSS (SC LCMV-BSS) sequential LCMV-BSS (SQ LCMV-BSS) vicarious calibration reflectance-based method irradiance-based method Dunhuang site 90° yaw imaging terrestrial hyperspectral imaging vineyard water stress machine learning tree-based ensemble progressive sample processing (PSP) real-time processing image fusion hyperspectral image panchromatic image structure tensor image enhancement weighted fusion spectral mixture analysis fire severity AVIRIS deep belief networks deep learning texture feature enhancement band grouping hyperspectral compression lossy compression on-board compression orthogonal projections Gram–Schmidt orthogonalization parallel processing anomaly detection sparse coding KSVD hyperspectral images (HSIs) SVM composite kernel algebraic multigrid methods hyperspectral pansharpening panchromatic intrinsic image decomposition weighted least squares filter spectral-spatial classification label propagation superpixel semi-supervised learning rolling guidance filtering (RGF) graph deep pipelined background statistics high-level synthesis data fusion data unmixing hyperspectral imaging |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910585941603321 |
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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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Remote Sensing of the Oceans : Blue Economy and Marine Pollution
| Remote Sensing of the Oceans : Blue Economy and Marine Pollution |
| Autore | Buono Andrea |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (224 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
ocean modeling
counter-flow vertical migration Kuroshio intrusion marine economy storm surge tropical cyclone size (TC size) ideal test marine-economic effects Northern East China Sea (NECS) surface currents HF radar eddy detection algorithms general compact polarimetry hybrid dual-polarization oil spill discrimination target decomposition ocean environment oil spill Synthetic Aperture Radar polarimetric decomposition superpixel convolutional neural networks unmanned-aerial-vehicles UAVs anthropogenic-marine-debris AMD beached-marine-litter BML marine-protected-areas MPA ortho-photo marine-pollution accumulation-rate synthetic aperture radar (SAR) moving vessel multicomponent polynomial phase signal(mc-PPS) adaptive joint time-frequency (AJTF) decomposition co-evolutionary particle swarm optimization airborne HF/VHF radar sea echo mathematical model radar cross section marine raft aquaculture Sentinel-1 nonsubsampled contourlet transform semantic segmentation fully convolutional network SAR images shoreline extraction geometric active contour model SAR sentinel-1 low-backscattering areas azimuth autocorrelation function |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Remote Sensing of the Oceans |
| Record Nr. | UNINA-9910557667403321 |
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Buono Andrea
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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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