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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 online resource (394 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato AMBTC
art history
art statistics
atmosphere background
backscattered signals
balance
bit cube
blind image quality assessment
brain-computer interface (BCI)
chaotic system
chaotic systems
chiaroscuro
children
chosen plaintext attack
complexity
compound chaotic system
computer vision
continuous wavelet transform (CWT)
convolution neural network
convolutional neural network
convolutional neural network (CNN)
crowd behavior analysis
crowd motion detection
cryptography
data expansion
data hiding
declining quality
deep neural network
detectability
dictionary-based coding
diffusion
direction entropy
DNA coding
DNA computing
Duchenne muscular dystrophy
electroencephalography (EEG)
engine flame
entropy
feature distribution entropy
feature fusion
filtering
Golomb-Rice codes
human visual system
hyperchaotic system
image binarization
image chaotic encryption
image encryption
image entropy
image information entropy
image preprocessing
image processing
image quality evaluation
image retrieval
image segmentation
infrared radiation
IoU
Keras
key space calculation
key-point detection
Latin cube
local entropy filter
lossless compression
machine learning
magnetic resonance images
malaria infection
medical color images
medical image
medical imaging
Mordell elliptic curve
motor imagery (MI)
MXNet
neural engineering
neuroaesthetics
node strength
non-maximum suppression
normalized entropy
nuclear spin generator
object detection
optical character recognition
pattern classification
peak signal-to-noise ratio
pixel value adjusting
Pompe disease
pooling method
portrait paintings
pseudo-random numbers
Python
quantitative muscle ultrasound
quasi-resonant Rossby/drift wave triads
renaissance
repulsive force
RGB
RSNNS
S-box
saliency and distortion
salient crowd motion detection
security
security analysis
steganography
stego image
substitution box
symmetry
texture-feature parametric imaging
thresholding
ultrasound
weld evaluation
weld segmentation
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
Future Smart Grid Systems
Future Smart Grid Systems
Autore Short Michael
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (241 p.)
Soggetto topico Research and information: general
Technology: general issues
Soggetto non controllato automatic intrusion mitigation unit
binary logistic regression
capacity prediction
centralised hydrogen production
community energy management
conditional value at risk
continuous wavelet transform (CWT)
cost analysis
cybersecurity
decentralized
deep neural networks
demand flexibility
demand response
digitalization
dynamic programming
energy management
energy storage
FPID controller
HVAC control
hydrogen economy
improved multi-layer artificial bee colony algorithm
industry 4.0
interconnected power system
island communities
life cycle costing
lithium-ion battery
market regulations
methane reforming
microgrid
nonlinear optimization
optimization
parameter tuning
phasor machine learning
regulatory barriers
renewable energy
risk-based hybrid demand response
Sensors
short-term load forecasting
smart grids (intelligent networks)
state of health estimation
storage policy
sustainability
SWOT analysis
time-frequency image analysis
two-stage optimization
uncertainties
Virtual Oscillator Control
voltage-mode inverter
water electrolysis
wireless network
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557604803321
Short Michael  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Hyperspectral Remote Sensing of Agriculture and Vegetation
Hyperspectral Remote Sensing of Agriculture and Vegetation
Autore Pascucci Simone
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (266 p.)
Soggetto topico Environmental economics
Research & information: general
Soggetto non controllato abaxial
adaxial
analytical methods
AOTF
artificial intelligence
biodiversity
BRDF
canopy spectra
chlorophyll content
classification
classification of agricultural features
continuous wavelet transform (CWT)
correlation coefficient
crop properties
discrimination
DLARI
Eragrostis tef
Ethiopia
expansive species
feature selection
field spectroscopy
future hyperspectral missions
grapevine
heavy metals
high-resolution spectroscopy for agricultural soils and vegetation
hyperspectral
hyperspectral data as input for modelling soil, crop, and vegetation
hyperspectral databases for agricultural soils and vegetation
hyperspectral imaging
hyperspectral imaging for vegetation
hyperspectral LiDAR
hyperspectral remote sensing
hyperspectral remote sensing for soil and crops in agriculture
invasive species
leaf chlorophyll content
macronutrient
MDATT
micronutrient
MLR
multi-angle observation
Natura 2000
new hyperspectral technologies
object-oriented segmentation
partial least square regression (PLSR)
partial least squares
peanut
plant
plant traits
platforms and sensors
PLS
precision agriculture
product validation
proximal sensing data
proximal sensor
random forest
Red Edge
remote sensing
replicability
reproducibility
soil characteristics
spectra
spectral reflectance
spectroscopy
support vector machine
SVM
vegetation
vegetation classification
vegetation parameters
waveband selection
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557691803321
Pascucci Simone  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
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