Advanced Technology Related to Radar Signal, Imaging, and Radar Cross-Section Measurement
| Advanced Technology Related to Radar Signal, Imaging, and Radar Cross-Section Measurement |
| Autore | Kobayashi Hirokazu |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (570 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
2-D PPS
3-D deformation adaptive reduced method aircraft surveillance altitude measurement accuracy analytical approach antenna array atomic norm automatic guided vehicle Bayesian inversion bistatic inverse synthetic aperture radar bistatic MIMO radar block coherence measure block sparse Bayesian learning CLEAN technique clustering methods clutter reduction clutter suppression coherent integration coherent pulse trains comprehensive SAR conductivity constant modulus sequences constitutive parameters contrast target detection correlation properties Cramer-Rao lower bound critical height crosshole ground penetrating radar (GPR) curved orbit deception jamming dechirping denoising detection deramping-based approach differential SAR tomography dilation morphology direct position determination discrete cosine transform (DCT) discrete scatterer model DOA estimation DoA/DoD estimation DOD/DOA estimation Doppler Doppler rate doppler tolerance double negative dual-band dual-polarized radar electromagnetic wave attribute energy spectrum method entropy thresholding FMCW radio altimeter forward model fractional Fourier transform (FRFT) frequency shifting modulation generative adversarial nets generator and discriminator GPR guided filter height pulses high reliability high switching speed hyperbolic tangent function image fusion image processing integral cubic phase function (ICPF) interrupted sampling interrupted transmitting and receiving (ITR) inverse synthetic aperture ladar (ISAL) inverse synthetic aperture radar (ISAR) ISAR K-L transform least square error linear geometry distortion local correlation local gradient method low control voltage low-rank approximation lunar penetrating radar man-made targets maneuvering target maneuvering target detection marine radar maritime traffic monitoring Markov chain Monte Carlo (MCMC) maximum likelihood estimator metamaterial absorber methodological error micro-Doppler micro-motion feature extraction microwave imaging MIMO radar modeling error motion parameter estimation multiparametric SAR observation multipath ghost suppression mutual coupling n/a narrowband interference separation non-uniform fast Fourier transform (NUFFT) non-uniform grid off-grid sparse problem orthogonal matching pursuit parameter estimation passive bistatic radar PBR (passive bistatic radar) permittivity phased array radar polarimetric decomposition prior information pulse radar radar echo cancellation radar jamming radon transform relative water content remote sensing RF MEMS rotating target S-transformation saliency detection saliency preprocessing LLC SAR scene classification seasonal permafrost second-order phase difference (SoPD) seislet transform sensing matrix optimization series reversion simultaneous polarimetric radar single moving sensor singular value decomposition (SVD) small wind streak SNR spaceborne sparse recovery sparse representation speckle noise filtering squinted SAR subspace extraction switch synchrosqueezing synthetic aperture radar synthetic aperture radar (SAR) Synthetic Aperture Radar (SAR) through-wall imaging through-wall radar imaging time-frequency analysis tomography ultra-wide frequency deviation ultrahigh resolution unmanned aerial vehicle wake detection and analysis wideband noise interference wind direction retrieval |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557305803321 |
Kobayashi Hirokazu
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| 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 online resource (434 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
air temperature
anomaly detection atmospheric transmittance attention mechanism band selection band selection (BS) boundary-aware constraint carbon dioxide absorption change detection channel augmented attention classification coffee beans color formation models constrained energy minimization (CEM) constrained sparse representation constrained-target optimal index factor band selection (CTOIFBS) constraint representation convolutional neural network data augmentation data fusion deep convolutional neural networks deep learning denoising emissivity evolutionary computation FTIR fused features generative adversarial network heuristic algorithms hyperspectral hyperspectral image hyperspectral image classification hyperspectral image few-shot classification hyperspectral image super-resolution hyperspectral imagery hyperspectral imagery classification hyperspectral images hyperspectral imaging hyperspectral imaging (HSI) hyperspectral imaging data hyperspectral reconstruction hyperspectral remote sensing hyperspectral target detection hyperspectral unmixing image classification image fusion insect damage joint tensor decomposition least square estimation lightweight convolutional neural networks machine learning meta-learning midwave infrared mine environment moving target detection multi-source image fusion multiscale decision fusion multispectral image MWIR nonlinear unmixing plug-and-play relation network residual augmented attentional u-shape network rice rice leaf blast rice leaf folder self-supervised learning self-supervised training separation SFIM spatial augmented attention spatial filter spatial measurement spatio-temporal processing spectral reconstruction spectral-spatial residual network superpixel segmentation target detection temperature transfer learning underwater hyperspectral target detection underwater spectral imaging system unmanned aerial vehicles (UAVs) upland swamps vegetation vegetation mapping visualization |
| ISBN | 3-0365-5796-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637782203321 |
Chang Chein-I
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Image Processing, Analysis and Recognition Technology
| Advances in Image Processing, Analysis and Recognition Technology |
| Autore | Frejlichowski Dariusz |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (386 p.) |
| Soggetto topico |
Computer science
Information technology industries |
| Soggetto non controllato |
action recognition
active ageing affine motion compensation ambient assisted living artificial intelligence atmospheric-light estimation attention automatic cell segmentation balanced sampling bi-histogram equalization bilingual scene text reading block-based coding BOF CIELab classification classification accuracy coal coarse-to-fine search strategy coke component Substitution compressed sensing contrast ratio convolution neural network (CNN) convolutional neural network convolutional neural networks cyclical learning rates dark channel deep learning deep transfer learning dental application details preservation detection DPCNN Ethiopic script feature extraction fine-tuning frame Gene Expression Programming (GEP) gradient H.265/HEVC handwritten digit recognition haze removal historical document analysis homography matrix identification IKONOS image analysis image fusion image preclassification image processing image quality image registration images inertinite macerals intensity correction iron ore label smoothing learning rate scheduler local dimming local homography transformation magnitude motion moving direct linear transformation multi-scale sampling multifractal analysis n/a nasal cytology neural networks numeral spotting object detection octave convolution optical Pan sharpening pansharpening parseval frame plant recognition Pléiades VHR Image reactivity remote sensing retinex theory RGB-D rhinology RIP saliency salient object detection Satellite Pour l'Observation de la Terre (SPOT) 6 segmentation shape context shape features silhouette sequences sinter small object sparse dictionary sparse representation spatial consistency spectral consistency spectrum correction stable recovery structure super-resolution (SR) support vector machine suspicious behavior detection synthesis texture tradeoff process transform video coding |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576879103321 |
Frejlichowski Dariusz
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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Digital Signal, Image and Video Processing for Emerging Multimedia Technology
| Digital Signal, Image and Video Processing for Emerging Multimedia Technology |
| Autore | Kim Byung-Gyu |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (392 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
3D
acauisition function adversarial loss aerial imagery affine motion model bayesian optimization bit allocation block-compressive sensing (BCS) capacitive touchscreen CenterNet channel allocation character order preserving classification closed circuit television (CCTV) cloud computing cloud system coefficient of variation content-based image retrieval convolution neural network convolutional neural network (CNN) convolutional neural networks de-noising deep leaning deep learning deep neural architecture denoise dependency detection depth map edge preserving electrical insulator error analysis Faster R-CNN fire and smoke detection flexible partitioning focus maps frame complexity gaussian process generative adversarial network genetic algorithms image classification image deblurring image fusion image processing image restoration image retrieval image similarity image stabilization image steganalysis inter-component prediction learning rate lexicon low light machine learning marine leisure activities MCV and MLV filters motion compensation motion estimation moving object multi-focus multi-scale analysis multiple feature multiview high efficiency video coding MVD n/a noise reduction noise removal non-linear filters object detection optical flow pattern mining pattern recognition perceptual loss perspective motion model privacy risk public key cryptography (PKC) quantization (signal) rate control RetinaNet reversible data hiding reversible data hiding (RDH) RFCN saliency scalable video coding scene recognition security sentiment analysis SNIPER social media spatial and temporal SSD step-less adaptive sampling super-resolution surveillance surveillance system ternary classification texture trimaps UAVs UNIWARD vector of locally aggregated descriptor video coding video surveillance VisDrone2019 VVC Wasserstein distance wavelet analysis wavelet transform weakly supervised attention map Wiener-Granger causality WOW wrist-mounted DiverPAD YOLOv3 ρ model |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557136003321 |
Kim Byung-Gyu
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
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Energy-Efficiency of Conveyor Belts in Raw Materials Industry
| Energy-Efficiency of Conveyor Belts in Raw Materials Industry |
| Autore | Marasová Daniela |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (136 p.) |
| Soggetto topico |
History of engineering and technology
Technology: general issues |
| Soggetto non controllato |
absorbed energy
belt conveyor belt damage belt indentation rolling resistance belt tensile strength conveyor belt conveyor belts damage DEM simulation diagnostics energy-saving belt hot spot detection idler image analysis image fusion inspection robot inspection robotics laboratory and in-service tests of conveyor components magnetic method n/a NDT method neural networks noise emissions puncture resistance reverse engineering rolling element bearing rubber-textile conveyor belt signal processing sound statistical analysis steel-cord conveyor belt support system theoretical model transfer station transition section transverse vibrations |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580208603321 |
Marasová Daniela
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| 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 online resource (632 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
90° yaw imaging
adaptive window Africa agroforestry AHS airborne laser scanning algebraic multigrid methods anomaly detection AVIRIS band expansion process (BEP) band grouping band selection band selection (BS) band subset selection (BSS) biodiversity class imbalance classification composite kernel constrained energy minimization constrained energy minimization (CEM) correlation band expansion process (CBEP) data fusion data integration data unmixing data-guided constraints deep belief networks deep learning deep pipelined background statistics Dunhuang site endmember extraction ensemble learning evenness fire severity Gram-Schmidt orthogonalization graph hashing ensemble hierarchical feature high-level synthesis HyMap hyperspectral hyperspectral classification hyperspectral compression hyperspectral detection hyperspectral image hyperspectral image (HSI) hyperspectral image classification hyperspectral imagery hyperspectral images (HSIs) hyperspectral imaging hyperspectral pansharpening hyperspectral unmixing image enhancement image fusion imaging spectroscopy in situ measurements intrinsic image decomposition irradiance-based method iterative algorithm iterative CEM (ICEM) KSVD label propagation linearly constrained minimum variance (LCMV) local abundance local summation RX detector (LS-RXD) lossy compression machine learning mineral mapping minimum noise fraction multiscale spatial information multiscale union regions adaptive sparse representation (MURASR) nonlinear band expansion (NBE) nonnegative matrix factorization nuclear norm on-board compression optical spectral region orthogonal projections Otsu's method panchromatic panchromatic image parallel processing peatland progressive sample processing (PSP) prototype space raw material real-time processing recursive anomaly detection reflectance-based method remote sensing rolling guidance filtering (RGF) rotation forest semi-supervised learning semi-supervised local discriminant analysis sequential LCMV-BSS (SQ LCMV-BSS) sliding window sparse coding sparse unmixing sparseness spectral mixture analysis spectral variability spectral-spatial classification sprout detection structure tensor successive LCMV-BSS (SC LCMV-BSS) superpixel SVM target detection terrestrial hyperspectral imaging texture feature enhancement thermal infrared spectral region tree species tree-based ensemble vegetation type vicarious calibration vineyard water stress weighted fusion weighted least squares filter |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910585941603321 |
Chang Chein-I
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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Image Simulation in Remote Sensing
| Image Simulation in Remote Sensing |
| Autore | Eo Yang Dam |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (128 p.) |
| Soggetto topico |
History of engineering and technology
Technology: general issues |
| Soggetto non controllato |
3D point cloud
aerial orthoimage backpack-based mapping computational simulation denoising detection discrepancy fusing region proposals high-resolution image fusion image simulation in situ self-calibration interferometry KOMPSAT-3A matching mobile mapping system mosaic multi-beam LiDAR n/a panchromatic image random forest regression remote sensing residual U-Net RPCs SAR image SAR imagery sensor modeling Sentinel-2 strip super-resolution |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566468703321 |
Eo Yang Dam
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Processing on Image and Optical Information
| Intelligent Processing on Image and Optical Information |
| Autore | Yeom Seokwon |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (324 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
ADAM
adaptive mean-shift autofocus background-oriented schlieren biomedical imaging block compressed sensing bone fracture boundary point calcaneus change detection classifier cluster validity index clustering algorithm clustering evaluation continuous casting slabs convolutional neural network CT image database augmentation deep learning deep neural network defect detection digital image correlation discrete non-separable shearlet transform dominant spectral wavelength Dongting Lake ego-motion estimation error resilience extraction face registration facial image feature extraction feature selection fermentation monitoring Gabor filter GAN (Generative adversarial networks) generation generative models gray-level co-occurrence matrix hand-eye calibration healthy and infected lemons heat waves Hermite high-temperature measurement hybrid ant lion optimizer Hyperspectral image image completion image fusion image interpolation image processing image up-scaling IMU inner-distance interior point kernel spectral regression lemon skin lidar odometry machine learning microscopy image analysis microscopy image processing multi-sensor n/a night vision goggles NSCT numerical optimization optical sensor parameter optimization Penicillium digitatum pathogen process automation quality inspection radiographic image reconstruction segmentation sensor fusion sparse and low-rank matrix decomposition spectral intensity ratio stochastic gradient methods structure similarity Student's-t Mixtures Model superellipsoid model fitting surface defect classification synthesis tensor decomposition models texture classification thermal disturbance variogram function wildlife monitoring image wireless multimedia sensor networks zebrafish egg zebrafish larva |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557104903321 |
Yeom Seokwon
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
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Learning to Understand Remote Sensing Images: Volume 1 / Qi Wang
| Learning to Understand Remote Sensing Images: Volume 1 / Qi Wang |
| Autore | Wang Qi |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (414 pages) |
| Soggetto topico | Computer science |
| Soggetto non controllato |
metadata
image classification sensitivity analysis ROI detection residual learning image alignment adaptive convolutional kernels Hough transform class imbalance land surface temperature inundation mapping multiscale representation object-based convolutional neural networks scene classification morphological profiles hyperedge weight estimation hyperparameter sparse representation semantic segmentation vehicle classification flood Landsat imagery target detection multi-sensor building damage detection optimized kernel minimum noise fraction (OKMNF) sea-land segmentation nonlinear classification land use SAR imagery anti-noise transfer network sub-pixel change detection Radon transform segmentation remote sensing image retrieval TensorFlow convolutional neural network particle swarm optimization optical sensors machine learning mixed pixel optical remotely sensed images object-based image analysis very high resolution images single stream optimization ship detection ice concentration online learning manifold ranking dictionary learning urban surface water extraction saliency detection spatial attraction model (SAM) quality assessment Fuzzy-GA decision making system land cover change multi-view canonical correlation analysis ensemble land cover semantic labeling sparse representation dimensionality expansion speckle filters hyperspectral imagery fully convolutional network infrared image Siamese neural network Random Forests (RF) feature matching color matching geostationary satellite remote sensing image change feature analysis road detection deep learning aerial images image segmentation aerial image multi-sensor image matching HJ-1A/B CCD endmember extraction high resolution multi-scale clustering heterogeneous domain adaptation hard classification regional land cover hypergraph learning automatic cluster number determination dilated convolution MSER semi-supervised learning gate Synthetic Aperture Radar (SAR) downscaling conditional random fields urban heat island hyperspectral image remote sensing image correction skip connection ISPRS spatial distribution geo-referencing Support Vector Machine (SVM) very high resolution (VHR) satellite image classification ensemble learning synthetic aperture radar conservation convolutional neural network (CNN) THEOS visible light and infrared integrated camera vehicle localization structured sparsity texture analysis DSFATN CNN image registration UAV unsupervised classification SVMs SAR image fuzzy neural network dimensionality reduction GeoEye-1 feature extraction sub-pixel energy distribution optimizing saliency analysis deep convolutional neural networks sparse and low-rank graph hyperspectral remote sensing tensor low-rank approximation optimal transport SELF spatiotemporal context learning Modest AdaBoost topic modelling multi-seasonal Segment-Tree Filtering locality information GF-4 PMS image fusion wavelet transform hashing machine learning techniques satellite images climate change road segmentation remote sensing tensor sparse decomposition Convolutional Neural Network (CNN) multi-task learning deep salient feature speckle canonical correlation weighted voting fully convolutional network (FCN) despeckling multispectral imagery ratio images linear spectral unmixing hyperspectral image classification multispectral images high resolution image multi-objective convolution neural network transfer learning 1-dimensional (1-D) threshold stability Landsat kernel method phase congruency subpixel mapping (SPM) tensor MODIS GSHHG database compressive sensing |
| ISBN |
9783038976851
3038976857 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367755603321 |
Wang Qi
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Lo trovi qui: Univ. Federico II | ||
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Learning to Understand Remote Sensing Images: Volume 2 / Qi Wang
| Learning to Understand Remote Sensing Images: Volume 2 / Qi Wang |
| Autore | Wang Qi |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (363 pages) |
| Soggetto non controllato |
metadata
image classification sensitivity analysis ROI detection residual learning image alignment adaptive convolutional kernels Hough transform class imbalance land surface temperature inundation mapping multiscale representation object-based convolutional neural networks scene classification morphological profiles hyperedge weight estimation hyperparameter sparse representation semantic segmentation vehicle classification flood Landsat imagery target detection multi-sensor building damage detection optimized kernel minimum noise fraction (OKMNF) sea-land segmentation nonlinear classification land use SAR imagery anti-noise transfer network sub-pixel change detection Radon transform segmentation remote sensing image retrieval TensorFlow convolutional neural network particle swarm optimization optical sensors machine learning mixed pixel optical remotely sensed images object-based image analysis very high resolution images single stream optimization ship detection ice concentration online learning manifold ranking dictionary learning urban surface water extraction saliency detection spatial attraction model (SAM) quality assessment Fuzzy-GA decision making system land cover change multi-view canonical correlation analysis ensemble land cover semantic labeling sparse representation dimensionality expansion speckle filters hyperspectral imagery fully convolutional network infrared image Siamese neural network Random Forests (RF) feature matching color matching geostationary satellite remote sensing image change feature analysis road detection deep learning aerial images image segmentation aerial image multi-sensor image matching HJ-1A/B CCD endmember extraction high resolution multi-scale clustering heterogeneous domain adaptation hard classification regional land cover hypergraph learning automatic cluster number determination dilated convolution MSER semi-supervised learning gate Synthetic Aperture Radar (SAR) downscaling conditional random fields urban heat island hyperspectral image remote sensing image correction skip connection ISPRS spatial distribution geo-referencing Support Vector Machine (SVM) very high resolution (VHR) satellite image classification ensemble learning synthetic aperture radar conservation convolutional neural network (CNN) THEOS visible light and infrared integrated camera vehicle localization structured sparsity texture analysis DSFATN CNN image registration UAV unsupervised classification SVMs SAR image fuzzy neural network dimensionality reduction GeoEye-1 feature extraction sub-pixel energy distribution optimizing saliency analysis deep convolutional neural networks sparse and low-rank graph hyperspectral remote sensing tensor low-rank approximation optimal transport SELF spatiotemporal context learning Modest AdaBoost topic modelling multi-seasonal Segment-Tree Filtering locality information GF-4 PMS image fusion wavelet transform hashing machine learning techniques satellite images climate change road segmentation remote sensing tensor sparse decomposition Convolutional Neural Network (CNN) multi-task learning deep salient feature speckle canonical correlation weighted voting fully convolutional network (FCN) despeckling multispectral imagery ratio images linear spectral unmixing hyperspectral image classification multispectral images high resolution image multi-objective convolution neural network transfer learning 1-dimensional (1-D) threshold stability Landsat kernel method phase congruency subpixel mapping (SPM) tensor MODIS GSHHG database compressive sensing |
| ISBN |
9783038976998
3038976997 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367755503321 |
Wang Qi
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Lo trovi qui: Univ. Federico II | ||
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