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Deep Learning for Facial Informatics
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
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
Opac: Controlla la disponibilità qui
Entropy in Image Analysis II
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
Opac: Controlla la disponibilità qui
Remote Sensing for Precision Nitrogen Management
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
Opac: Controlla la disponibilità qui
Remote Sensing in Mangroves
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
Opac: Controlla la disponibilità qui
Symmetry in Structural Health Monitoring
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
Opac: Controlla la disponibilità qui
UAVs for Vegetation Monitoring
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
Opac: Controlla la disponibilità qui