Deep Learning for Facial Informatics |
Autore | Hsu Gee-Sern Jison |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (102 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
deep learning
RGB depth facial landmarking merging networks 3D geometry data 2D attribute maps fused CNN feature coarse-to-fine convolutional neural network (CNN) deep metric learning multi-task learning image classification age estimation generative adversarial network emotion classification facial key point detection facial images processing convolutional neural networks face liveness detection convolutional neural network thermal image external knowledge |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557721303321 |
Hsu Gee-Sern Jison | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Emerging Sensor Technology in Agriculture |
Autore | Fuentes Sigfredo |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (240 p.) |
Soggetto topico |
Research & information: general
Geography |
Soggetto non controllato |
apple orchards
modeling and simulation unmanned aerial vehicles fruit ripeness ethylene gas detection 3D crop modeling remote sensing on-ground sensing depth images parameter acquisition capacitor sensor deposit mass pesticide droplets formulations ionization CFD airflow field test monitoring method spectral sensor crop growth computer vision deep learning image processing pose estimation animal detection precision livestock Citrus sinensis L. Osbeck mechanical harvesting acceleration sensor vibration time logistic regression adaptive thresholding fruit detection parameter tuning phenotype phenotyping phenomics Triticum aestivum water deficit stress infrared leaf area index cocoa beans volatile compounds artificial neural networks VitiCanopy app bushfires infrared thermography near-infrared spectroscopy smoke taint artificial intelligence Kinect sensor RGB RGB-D image segmentation colour thresholding bunch area bunch volume point cloud mesh surface reconstruction image analysis cluster morphology machine learning non-invasive sensing technologies proximal sensing precision viticulture partial least square support vector machine Gaussian processes soybean pigeon pea guar tepary bean |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557295003321 |
Fuentes Sigfredo | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Entropy in Image Analysis II |
Autore | Sparavigna Amelia Carolina |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (394 p.) |
Soggetto topico | History of engineering & technology |
Soggetto non controllato |
image binarization
optical character recognition local entropy filter thresholding image preprocessing image entropy image encryption medical color images RGB chaotic system crowd behavior analysis salient crowd motion detection repulsive force direction entropy node strength Pompe disease children quantitative muscle ultrasound texture-feature parametric imaging compound chaotic system S-box image information entropy image chaotic encryption cryptography Latin cube bit cube chosen plaintext attack atmosphere background engine flame infrared radiation detectability image quality evaluation image retrieval pooling method convolutional neural network feature distribution entropy lossless compression pattern classification machine learning malaria infection entropy Golomb–Rice codes image processing image segmentation weld segmentation weld evaluation convolution neural network Python Keras RSNNS MXNet brain-computer interface (BCI) electroencephalography (EEG) motor imagery (MI) continuous wavelet transform (CWT) convolutional neural network (CNN) hyperchaotic system filtering DNA computing diffusion deep neural network data expansion blind image quality assessment saliency and distortion human visual system declining quality data hiding AMBTC steganography stego image dictionary-based coding pixel value adjusting neuroaesthetics symmetry balance complexity chiaroscuro normalized entropy renaissance portrait paintings art history art statistics chaotic systems DNA coding security analysis magnetic resonance images non-maximum suppression object detection key-point detection IoU feature fusion quasi-resonant Rossby/drift wave triads Mordell elliptic curve pseudo-random numbers substitution box nuclear spin generator medical image peak signal-to-noise ratio key space calculation Duchenne muscular dystrophy ultrasound backscattered signals medical imaging neural engineering computer vision crowd motion detection security |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557433403321 |
Sparavigna Amelia Carolina | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Remote Sensing for Precision Nitrogen Management |
Autore | Miao Yuxin |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (602 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology Environmental science, engineering & technology |
Soggetto non controllato |
UAS
multiple sensors vegetation index leaf nitrogen accumulation plant nitrogen accumulation pasture quality airborne hyperspectral imaging random forest regression sun-induced chlorophyll fluorescence (SIF) SIF yield indices upward downward leaf nitrogen concentration (LNC) wheat (Triticum aestivum L.) laser-induced fluorescence leaf nitrogen concentration back-propagation neural network principal component analysis fluorescence characteristics canopy nitrogen density radiative transfer model hyperspectral winter wheat flooded rice pig slurry aerial remote sensing vegetation indices N recommendation approach Mediterranean conditions nitrogen vertical distribution plant geometry remote sensing maize UAV multispectral imagery LNC non-parametric regression red-edge NDRE dynamic change model sigmoid curve grain yield prediction leaf chlorophyll content red-edge reflectance spectral index precision N fertilization chlorophyll meter NDVI NNI canopy reflectance sensing N mineralization farmyard manures Triticum aestivum discrete wavelet transform partial least squares hyper-spectra rice nitrogen management reflectance index multiple variable linear regression Lasso model Multiplex®3 sensor nitrogen balance index nitrogen nutrition index nitrogen status diagnosis precision nitrogen management terrestrial laser scanning spectrometer plant height biomass nitrogen concentration precision agriculture unmanned aerial vehicle (UAV) digital camera leaf chlorophyll concentration portable chlorophyll meter crop PROSPECT-D sensitivity analysis UAV multispectral imagery spectral vegetation indices machine learning plant nutrition canopy spectrum non-destructive nitrogen status diagnosis drone multispectral camera SPAD smartphone photography fixed-wing UAV remote sensing random forest canopy reflectance crop N status Capsicum annuum proximal optical sensors Dualex sensor leaf position proximal sensing cross-validation feature selection hyperparameter tuning image processing image segmentation nitrogen fertilizer recommendation supervised regression RapidSCAN sensor nitrogen recommendation algorithm in-season nitrogen management nitrogen use efficiency yield potential yield responsiveness standard normal variate (SNV) continuous wavelet transform (CWT) wavelet features optimization competitive adaptive reweighted sampling (CARS) partial least square (PLS) grapevine hyperparameter optimization multispectral imaging precision viticulture RGB multispectral coverage adjusted spectral index vegetation coverage random frog algorithm active canopy sensing integrated sensing system discrete NIR spectral band data soil total nitrogen concentration moisture absorption correction index particle size correction index coupled elimination |
ISBN | 3-0365-5710-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910637794503321 |
Miao Yuxin | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Remote Sensing in Mangroves |
Autore | Giri Chandra |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (292 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
Landsat
estuary protected area land use land cover change detection time series Great Barrier Reef Sentinel-2 ALOS-2 PALSAR-2 mangrove above-ground biomass extreme gradient boosting Can Gio biosphere reserve Vietnam LiDAR random forest GLAS aboveground biomass mangrove plantation aboveground biomass estimation optical images SAR DSM vegetation index color RGB accuracy assessment transgression mangrove development machine learning mangrove condition classification remote sensing ecosystem upscaling Worldview-2 Niger Delta Region mangroves land cover dynamics intensity analysis fragmentation spectral-temporal metrics land degradation ALOS PALSAR-2 JERS-1 GLCM Markov chain cellular automata data fusion forest monitoring Google Earth Engine mangrove forests multi-temporal analysis satellite earth observation time series analysis GEEMMM google earth engine Myanmar cloud computing digital earth GAMs Generalized Additive Models EVI phenology |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557495403321 |
Giri Chandra | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Symmetry in Structural Health Monitoring |
Autore | Yang Yang |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (310 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
real-time hybrid simulation
H∞ control time delay mixed sensitivity structural health monitoring deep learning data anomaly detection convolutional neural network time–frequency extraction micro inertial measurement unit (MIMU) variational mode decomposition (VMD) Hilbert–Huang transform (HHT) frequency-domain integration approach (FDIA) torsion angle calculation offshore oil platform self-anchored suspension bridge cable clamp slippage force analysis high formwork ARMA BPNN stress trend prediction crack detection improved YOLOv4 concrete surface substructure shake table testing integration algorithm finite element method damper digital twin prestressed steel structure construction process safety assessment intelligent construction structural health monitoring (SHM) vibration frequency domain time domain time-frequency domain technical codes multiple square loops (MSL)-string seismic excitation dynamic response seismic pulse near and far field three-dimensional laser scanning surface flatness of initial support of tunnel curved surface fitting flatness calculation datum curvedcontinuous girder bridge collision response seismic mitigation pounding mitigation and unseating prevention heavy-duty vehicle road coupling model terrestrial laser scanning RGB genetic algorithm artificial neutral network |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910580210603321 |
Yang Yang | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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UAVs for Vegetation Monitoring |
Autore | de Castro Megías Ana |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (452 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
UAS
UAV vegetation cover multispectral land cover forest Acacia Indonesia tropics vegetation ground cover vegetation indices agro-environmental measures olive groves southern Spain sUAS water stress ornamental container-grown artificial intelligence machine learning deep learning neural network visual recognition precision agriculture canopy cover image analysis crop mapping evapotranspiration (ET) GRAPEX remote sensing Two Source Energy Balance model (TSEB) contextual spatial domain/resolution data aggregation eddy covariance (EC) Fusarium wilt crop disease banana multispectral remote sensing purple rapeseed leaves unmanned aerial vehicle U-Net plant segmentation nitrogen stress Glycine max RGB canopy height close remote sensing growth model curve fitting NDVI solar zenith angle flight altitude time of day operating parameters CNN Faster RCNN SSD Inception v2 patch-based CNN MobileNet v2 detection performance inference time disease detection cotton root rot plant-level single-plant plant-by-plant classification UAV remote sensing crop monitoring RGB imagery multispectral imagery century-old biochar semantic segmentation random forest crop canopy multispectral image chlorophyll content remote sensing technique individual plant segmentation plant detection transfer learning maize tassel tassel branch number convolution neural network VGG16 plant nitrogen estimation vegetation index image segmentation transpiration method comparison oil palm multiple linear regression support vector machine artificial neural network UAV hyperspectral wheat yellow rust disease monitoring texture spatial resolution RGB camera thermal camera drought tolerance forage grass HSV CIELab broad-sense heritability phenotyping gap high throughput field phenotyping UAV digital images winter wheat biomass multiscale textures red-edge spectra least squares support vector machine variable importance drone hyperspectral thermal nutrient deficiency weed detection disease diagnosis plant trails |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557661103321 |
de Castro Megías Ana | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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