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Machine Learning in Sensors and Imaging
| Machine Learning in Sensors and Imaging |
| Autore | Nam Hyoungsik |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (302 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
star image
image denoising reinforcement learning maximum likelihood estimation mixed Poisson–Gaussian likelihood machine learning-based classification non-uniform foundation stochastic analysis vehicle–pavement–foundation interaction forest growing stem volume coniferous plantations variable selection texture feature random forest red-edge band on-shelf availability semi-supervised learning deep learning image classification machine learning explainable artificial intelligence wildfire risk assessment Naïve bayes transmission-line corridors image encryption compressive sensing plaintext related chaotic system convolutional neural network color prior model object detection piston error detection segmented telescope BP artificial neural network modulation transfer function computer vision intelligent vehicles extrinsic camera calibration structure from motion convex optimization temperature estimation BLDC electric machine protection touchscreen capacitive display SNR stylus laser cutting quality monitoring artificial neural network burr formation cut interruption fiber laser semi-supervised fuzzy noisy real-world plankton marine activity recognition wearable sensors imbalanced activities sampling methods path planning Q-learning neural network YOLO algorithm robot arm target reaching obstacle avoidance |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566484703321 |
Nam Hyoungsik
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Optical Technologies Applied to Cultural Heritage
| Optical Technologies Applied to Cultural Heritage |
| Autore | Vazquez-Molini Daniel |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (228 p.) |
| Soggetto topico | The arts |
| Soggetto non controllato |
digital archaeology
image classification stratigraphy landscape archaeology sediment analysis spectroscopy proximal sensing porcelain enamels China 18th century Raman microspectroscopy pXRF pigments arsenic cobalt Naples yellow Dzi bead agate X-ray diffraction X-ray fluorescence X-ray absorption near edge structure X-ray imaging colour art visual accommodation binocular vision silver nanostars surface enhanced Raman spectroscopy cross-sections copper phthalocyanine blue pigment analytical diagnostics National Gallery of Parma Madonna della Misericordia pigment identification preliminary drawing gilding Byzantine projection mapping calibration lighting cultural heritage light damage colour difference ageing monitoring imaging spectroscopy spectral imaging exhibitions preventive quantitative books paper conservation archive library art conservation spectral optimization color quality LEDs light intensity illuminance exposure energy efficiency damage daguerreotype tarnish chemical cleaning electrocleaning synchrotron X-ray fluorescence imaging non-invasive investigations portable/reflectance spectroscopy portable Raman spectroscopy lead antimonate enamel blue caput mortuum hyperspectral imaging 18th century painting FORS XRF photogrammetry workflow Alhambra's Tower of the Captive |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910585942603321 |
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Vazquez-Molini Daniel
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Optics for AI and AI for Optics
| Optics for AI and AI for Optics |
| Autore | Wei Jinlong |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (162 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
light emitting diode
nonlinearity estimation and compensation probabilistic Bayesian learning visible light communication digital signal processing support vector machines BCSVM nonlinear equalization coherent detection k-nearest neighbor algorithm modulation format identification OSNR monitoring neural networks optical communications optimization equalizer tap estimation optical Fast-OFDM nonlinearity compensation optical fiber communications chromatic dispersion short-reach communication neural network hybrid signal processing fiber optics communications coherent communications machine learning clustering nonlinearity cancellation entanglement charge qubit position-based semiconductor qubits cryogenic technologies semiconductor photon communication Jaynes-Cummings-Hubbard formalism deep neural networks volterra equalization nonlinear systems coherent optical communication passive optical networks nonlinear compensation optical transmission optical networks artificial intelligence quality of transmission optical performance monitoring failure management artificial neural networks deep neural network image classification photonic integrated circuits semiconductor optical amplifiers photonic neural network |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557127903321 |
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Wei Jinlong
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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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Photonic Technology for Precision Metrology
| Photonic Technology for Precision Metrology |
| Autore | Wojtas Jacek |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (126 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
infrared thermometer
mid-wave infrared indium arsenide antimony photodiode uncooled thermometer fibreoptic coupling chopper stabilised op-amp zero-drift pre-amplifier ammonia detection NH3 MOX sensors polymer sensors laser absorption spectroscopy CRDS CEAS MUPASS PAS HOT IR detectors HgCdTe P-i-N BLIP condition 2D material photodetectors colloidal quantum dot photodetectors low-light photodetectors fluorescence microscopy time-resolved fluorescence microscopy hybrid photodetector (HPD) single-molecule fluorescence detection fourier ptychography image classification deep learning neural network electro-optic modulator frequency modulation displacement measuring interferometer quantum cascade laser laser controller infrared modulator laser spectroscopy free space optics photonic metrology accuracy precision resolution FTIR absorption spectroscopy gas sensors optoelectronic sensors |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910585938003321 |
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Wojtas Jacek
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Principles and Applications of Data Science
| Principles and Applications of Data Science |
| Autore | Liu Chuan-Ming |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (168 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
deep learning
user preference learning feature fusion similar user recommendation convolutional neural network image classification electronic health records fair exchange forward secrecy raw material mining terminology dictionary terminology application mobile application digitization lexical data corpus data linguistic linked open data neuro-fuzzy prediction model air pollution PM2.5 PM10 self-attention mechanism graph neural network data mining behaviour sequence pattern behaviour network water crystal fine-tuning supervised classification combined classification model deep transfer learning focal-segmental kidney disease kidney glomeruli medical image sclerosed glomeruli predictive analytics Internet of Things peasant farming smart farming system crop production prediction |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580211103321 |
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Liu Chuan-Ming
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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 Data Compression
| Remote Sensing Data Compression |
| Autore | Lukin Vladimir |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (366 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
on-board data compression
CCSDS 123.0-B-2 near-lossless hyperspectral image compression hyperspectral image coding graph filterbanks integer-to-integer transforms graph signal processing compact data structure quadtree k2-tree k2-raster DACs 3D-CALIC M-CALIC hyperspectral images fully convolutional network semantic segmentation spectral image tensor decomposition HEVC intra coding JPEG 2000 high bit-depth compression multispectral satellite images crop classification Landsat-8 Sentinel-2 Elias codes Simple9 Simple16 PForDelta Rice codes hyperspectral scenes hyperspectral image lossy compression real time FPGA PCA JPEG2000 EBCOT multispectral hyperspectral CCSDS FAPEC data compression transform hyperspectral imaging on-board processing GPU real-time performance UAV parallel computing remote sensing image quality image classification visual quality metrics spectral–spatial feature multispectral image compression partitioned extraction group convolution rate-distortion compressed sensing invertible projection coupled dictionary singular value task-driven learning on board compression transform coding learned compression neural networks variational autoencoder complexity real-time compression on-board compression real-time transmission UAVs compressive sensing synthetic aperture sonar underwater sonar imaging remote sensing data compression lossless compression compression impact computational complexity |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557383103321 |
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Lukin Vladimir
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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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Soil-Water Conservation, Erosion, and Landslide
| Soil-Water Conservation, Erosion, and Landslide |
| Autore | Chen Su-Chin |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (392 p.) |
| Soggetto topico |
Technology: general issues
Environmental science, engineering & technology |
| Soggetto non controllato |
landslide
image classification spectrum similarity analysis extreme rainfall-induced landslide susceptibility model landslide ratio-based logistic regression landslide evolution Typhoon Morakot Taiwan vegetation community vegetation importance value root system soil erosion grey correlation analysis sediment yield RUSLE Lancang-Mekong River basin rainfall threshold landslide probability model debris flow Zechawa Gully mitigation countermeasures Jiuzhaigou Valley water erosion susceptibility Gaussian process climate change radial basis function kernel weighted subspace random forest extreme events extreme weather naive Bayes feature selection machine learning hydrologic model simulated annealing earth system science PSED Model loess ICU static liquefaction mechanical behavior pore structure alpine swamp meadow alpine meadow degradation of riparian vegetation root distribution tensile strength tensile crack soil management land cover changes Syria hillslopes gully erosion vegetation restoration soil erodibility land use bridge pier overfall scour landform change impact on pier shallow water equations wet-dry front outburst flood TVD-scheme MUSCL-Hancock method laboratory model test extreme rainfall rill erosion shallow landslides deep lip surface safety factor rainfall erosivity factor USLE R Deep Neural Network tree ring dendrogeomorphology landslide activity deciduous broadleaved tree Shirakami Mountains spatiotemporal cluster analysis landslide hotspots dam breach seepage overtopping seismic signal flume test breach model |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566467403321 |
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Chen Su-Chin
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sustainable Agriculture and Advances of Remote Sensing (Volume 1)
| Sustainable Agriculture and Advances of Remote Sensing (Volume 1) |
| Autore | Paraforos Dimitrios |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (324 p.) |
| Soggetto topico |
Research & information: general
Geography |
| Soggetto non controllato |
geographic information system (GIS)
pocket beaches coastal management Interreg climate change remote sensing drone Sicily Malta Gozo Comino systematic literature review anomaly intrusion detection deep learning IoT resource constraint IDS evapotranspiration penman-monteith equation artificial neural network canopy conductance Ziz basin water quality satellite image analysis modeling approach nitrate dissolved oxygen chlorophyll a time series analysis environmental monitoring water extraction modified normalized difference water index (MNDWI) machine learning algorithm hyperspectral proximal sensing panicle initiation normalized difference vegetation index (NDVI) green ring internode-elongation Sentinel 1 and 2 Copernicus Sentinels crop classification food security agricultural monitoring data analysis SAR random forest 3D bale wrapping method equal bale dimensions mathematical model minimal film consumption optimal bale dimensions round bales Sentinel-2 SVM RF Boufakrane River watershed irrigation requirements water resources sustainable land use agriculture invasive plants precision agriculture rice farming site-specific weed management nitrogen prediction 1D convolution neural networks cucumber crop yield improvement mango leaf CCA vein pattern leaf disease cubic SVM chlorophyll-a concentration transfer learning overfitting data augmentation guava disease plant disease detection crops diseases entropy features fusion machine learning object-based classification density estimation histogram land use crop fields soil tillage data fusion multispectral sensor probe temperature profile forest roads simulation autonomous robots smart agriculture environmental protection photogrammetry path planning internet of things modeling convolutional neural networks machine vision computer vision modular robot selective spraying vision-based crop and weed detection Faster R-CNN YOLOv5 band selection CNN NDVI hyperspectral imaging crops urban flood Sentinel-1a Synthetic Aperture Radar (SAR) 3D Convolutional Neural Network multi-temporal data land use classification GIS Coatzacoalcos algorithms clustering pest control site-specific virtual pests rice plant weed hyperspectral imagery sustainable agriculture green technologies Internet of Things natural resources sustainable environment IoT ecosystem hyperspectral remoting sensing crop mapping image classification deep transfer learning hyperparameter optimization metaheuristic soil attribute ordinary Kriging rational sampling numbers spatial heterogeneity sampling soil pH spatial variation ordinary kriging Land Use/Land Cover LISS-III Landsat Vision Transformer Bidirectional long-short term memory Google Earth Engine Explainable Artificial Intelligence |
| ISBN | 3-0365-5338-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Sustainable Agriculture and Advances of Remote Sensing |
| Record Nr. | UNINA-9910619464703321 |
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Paraforos Dimitrios
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sustainable Agriculture and Advances of Remote Sensing (Volume 2)
| Sustainable Agriculture and Advances of Remote Sensing (Volume 2) |
| Autore | Paraforos Dimitrios |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (322 p.) |
| Soggetto topico |
Research & information: general
Geography |
| Soggetto non controllato |
geographic information system (GIS)
pocket beaches coastal management Interreg climate change remote sensing drone Sicily Malta Gozo Comino systematic literature review anomaly intrusion detection deep learning IoT resource constraint IDS evapotranspiration penman-monteith equation artificial neural network canopy conductance Ziz basin water quality satellite image analysis modeling approach nitrate dissolved oxygen chlorophyll a time series analysis environmental monitoring water extraction modified normalized difference water index (MNDWI) machine learning algorithm hyperspectral proximal sensing panicle initiation normalized difference vegetation index (NDVI) green ring internode-elongation Sentinel 1 and 2 Copernicus Sentinels crop classification food security agricultural monitoring data analysis SAR random forest 3D bale wrapping method equal bale dimensions mathematical model minimal film consumption optimal bale dimensions round bales Sentinel-2 SVM RF Boufakrane River watershed irrigation requirements water resources sustainable land use agriculture invasive plants precision agriculture rice farming site-specific weed management nitrogen prediction 1D convolution neural networks cucumber crop yield improvement mango leaf CCA vein pattern leaf disease cubic SVM chlorophyll-a concentration transfer learning overfitting data augmentation guava disease plant disease detection crops diseases entropy features fusion machine learning object-based classification density estimation histogram land use crop fields soil tillage data fusion multispectral sensor probe temperature profile forest roads simulation autonomous robots smart agriculture environmental protection photogrammetry path planning internet of things modeling convolutional neural networks machine vision computer vision modular robot selective spraying vision-based crop and weed detection Faster R-CNN YOLOv5 band selection CNN NDVI hyperspectral imaging crops urban flood Sentinel-1a Synthetic Aperture Radar (SAR) 3D Convolutional Neural Network multi-temporal data land use classification GIS Coatzacoalcos algorithms clustering pest control site-specific virtual pests rice plant weed hyperspectral imagery sustainable agriculture green technologies Internet of Things natural resources sustainable environment IoT ecosystem hyperspectral remoting sensing crop mapping image classification deep transfer learning hyperparameter optimization metaheuristic soil attribute ordinary Kriging rational sampling numbers spatial heterogeneity sampling soil pH spatial variation ordinary kriging Land Use/Land Cover LISS-III Landsat Vision Transformer Bidirectional long-short term memory Google Earth Engine Explainable Artificial Intelligence |
| ISBN | 3-0365-5336-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Sustainable Agriculture and Advances of Remote Sensing |
| Record Nr. | UNINA-9910619464803321 |
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Paraforos Dimitrios
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Texture and Colour in Image Analysis
| Texture and Colour in Image Analysis |
| Autore | Bianconi Francesco |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (278 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
Machine vision
image analysis item counting device electro-deposition industry digital intraoral radiography image preprocessing periapical lesions texture analysis prostate cancer histopathology microscopic tissue image segmentation morphological quantitative classification SVM image resizing local Tchebichef moments (LTM) scaling scale-and-stretch seam carving faster R-CNN cutting pieces multi-period pattern skew angle period length colored texture pattern classification global-local texture classification color-texture features color-texture feature extraction bagging post-processing BQMP and Haralick global-local feature integration maceral components image segmentation coal petrography random forest two-level clustering deep neural networks adaptive gradient methods stochastic gradient descent bounded scheduling method image classification language modeling texture deep learning MB-LBP surface defect detection feature extraction defect recognition mammogram meta-heuristics optimization breast cancer detection skin microrelief water sorption aging hair mathematics of colour and texture hand-designed image descriptors rank features partial orders river scene segmentation local binary pattern hue variance surface reflection audio classification dissimilarity space siamese network ensemble of classifiers pattern recognition animal audio co-saliency omnidirectional images video saliency visual saliency estimation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557518003321 |
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Bianconi Francesco
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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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