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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 electronic resource (392 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato closed circuit television (CCTV)
character order preserving
cloud system
privacy risk
security
video surveillance
3D
depth map
inter-component prediction
MVD
reversible data hiding
texture
wavelet analysis
deep learning
super-resolution
deep neural architecture
pattern mining
multi-scale analysis
reversible data hiding (RDH)
image processing
cloud computing
public key cryptography (PKC)
classification
content-based image retrieval
genetic algorithms
image retrieval
image classification
Wiener-Granger causality
block-compressive sensing (BCS)
saliency
error analysis
flexible partitioning
step-less adaptive sampling
non-linear filters
MCV and MLV filters
de-noising
noise removal
edge preserving
video coding
motion estimation
motion compensation
affine motion model
perspective motion model
VVC
quantization (signal)
channel allocation
scalable video coding
convolution neural network
scene recognition
vector of locally aggregated descriptor
weakly supervised attention map
fire and smoke detection
spatial and temporal
wavelet transform
coefficient of variation
image steganalysis
WOW
UNIWARD
ternary classification
convolutional neural network (CNN)
bayesian optimization
gaussian process
learning rate
acauisition function
machine learning
moving object
image stabilization
object detection
optical flow
surveillance
UAVs
multiview high efficiency video coding
ρ model
bit allocation
rate control
image similarity
frame complexity
image deblurring
generative adversarial network
Wasserstein distance
adversarial loss
perceptual loss
sentiment analysis
social media
lexicon
image fusion
multi-focus
trimaps
focus maps
VisDrone2019
aerial imagery
Faster R-CNN
SSD
RFCN
YOLOv3
RetinaNet
SNIPER
CenterNet
wrist-mounted DiverPAD
electrical insulator
capacitive touchscreen
marine leisure activities
convolutional neural networks
pattern recognition
low light
image restoration
denoise
noise reduction
deep leaning
multiple feature
dependency detection
surveillance system
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557136003321
Kim Byung-Gyu  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Electronics, Close-Range Sensors and Artificial Intelligence in Forestry
Electronics, Close-Range Sensors and Artificial Intelligence in Forestry
Autore Borz Stelian Alexandru
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (248 p.)
Soggetto topico Research & information: general
Biology, life sciences
Forestry & related industries
Soggetto non controllato forest fire detection
deep learning
ensemble learning
Yolov5
EfficientDet
EfficientNet
big data
automation
artificial intelligence
multi-modality
acceleration
classification
events
performance
motor-manual felling
willow
Romania
region detection of forest fire
grading of forest fire
weakly supervised loss
fine segmentation
region-refining segmentation
lightweight Faster R-CNN
ultrasound sensors
road scanner
terrestrial laser scanning
TLS
forest road maintenance
forest road monitoring
crowned road surface
digital twinning
climate smart
LiDAR
digitalization
forest loss
land-cover change
machine learning
spatial heterogeneity
random forest model
geographically weighted regression
aboveground biomass
estimation
remote sensing
Sentinel-2
Iran
multiple regression
artificial neural network
k-nearest neighbor
random forest
canopy
drone
leaf
leaves
foliar
samples
sampling
Aerial robotics
UAS
UAV
IoT
forest ecology
accessibility
wood
diameter
length
close-range sensing
Augmented Reality
comparison
accuracy
effectiveness
potential
forestry 4.0
wood technology
sawmilling
productivity
prediction
long-term
tree ring
forestry detection
resistance sensor
micro-drilling resistance method
signal processing
Signal-to-Noise Ratio (SNR)
ISBN 3-0365-6171-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910639985003321
Borz Stelian Alexandru  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Emerging Technologies for the Energy Systems of the Future
Emerging Technologies for the Energy Systems of the Future
Autore Anvari-Moghaddam Amjad
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (212 p.)
Soggetto topico Technology: general issues
Soggetto non controllato hybrid systems
photovoltaic
wind energy
energy economics
RES investments
Zimbabwe
Africa and energy security
electricity price forecasting (EPF)
wind power forecasting (WPF)
spot market
balancing market
ARMAX
NARX-ANN
100% renewable power system
secondary voltage control
tertiary voltage control
grid code
wind farms
photovoltaic parks
energy transition
renewable energy sources
island power systems
hybrid power plants
wind turbines
battery energy storage systems
marine microgrid
tidal generation system
black widow optimization
supplementary control
fractional integrator
non-linear fractional integrator
100% renewable power generation
nexus
food
energy
water
greenhouse gas emission
microgrid
ancillary services
energy storage
power management
solar hot waters
thermosyphon
thermal performance
Morocco
economic outcomes
CO2 environmental assessment
solar system
domestic hot water production
solar water heaters
individual and collective solar water heater systems
dynamic simulation
TRNbuild
TRNSYSstudio
energy management
residential and commercial loads
short-term load forecasting
deep learning
bidirectional long short-term memory (Bi-LSTM)
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557361303321
Anvari-Moghaddam Amjad  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Emotion and Stress Recognition Related Sensors and Machine Learning Technologies
Emotion and Stress Recognition Related Sensors and Machine Learning Technologies
Autore Kyamakya Kyandoghere
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (550 p.)
Soggetto topico Technology: general issues
Soggetto non controllato subject-dependent emotion recognition
subject-independent emotion recognition
electrodermal activity (EDA)
deep learning
convolutional neural networks
automatic facial emotion recognition
intensity of emotion recognition
behavioral biometrical systems
machine learning
artificial intelligence
driving stress
electrodermal activity
road traffic
road types
Viola-Jones
facial emotion recognition
facial expression recognition
facial detection
facial landmarks
infrared thermal imaging
homography matrix
socially assistive robot
EEG
arousal detection
valence detection
data transformation
normalization
mental stress detection
electrocardiogram
respiration
in-ear EEG
emotion classification
emotion monitoring
elderly caring
outpatient caring
stress detection
deep neural network
convolutional neural network
wearable sensors
psychophysiology
sensor data analysis
time series analysis
signal analysis
similarity measures
correlation statistics
quantitative analysis
benchmarking
boredom
emotion
GSR
classification
sensor
face landmark detection
fully convolutional DenseNets
skip-connections
dilated convolutions
emotion recognition
physiological sensing
multimodal sensing
flight simulation
activity recognition
physiological signals
thoracic electrical bioimpedance
smart band
stress recognition
physiological signal processing
long short-term memory recurrent neural networks
information fusion
pain recognition
long-term stress
electroencephalography
perceived stress scale
expert evaluation
affective corpus
multimodal sensors
overload
underload
interest
frustration
cognitive load
stress research
affective computing
human-computer interaction
deep convolutional neural network
transfer learning
auxiliary loss
weighted loss
class center
stress sensing
smart insoles
smart shoes
unobtrusive sensing
stress
center of pressure
regression
signal processing
arousal
aging adults
musical genres
emotion elicitation
dataset
emotion representation
feature selection
feature extraction
computer science
virtual reality
head-mounted display
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557346003321
Kyamakya Kyandoghere  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Empirical Finance
Empirical Finance
Autore Hamori Shigeyuki
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (276 p.)
Soggetto non controllato short-term forecasting
wavelet transform
IPO
volatility
US dollar
institutional investors’ shareholdings
neural network
financial market stress
market microstructure
text similarity
TVP-VAR model
Japanese yen
convolutional neural networks
global financial crisis
deep neural network
cross-correlation function
boosting
causality-in-variance
flight to quality
bagging
earnings quality
algorithmic trading
stop loss
statistical arbitrage
ensemble learning
liquidity risk premium
gold return
futures market
take profit
currency crisis
spark spread
city banks
piecewise regression model
financial and non-financial variables
exports
data mining
latency
crude oil futures prices forecasting
random forests
wholesale electricity
SVM
random forest
bank credit
deep learning
Vietnam
inertia
MACD
initial public offering
text mining
bankruptcy prediction
exchange rate
asset pricing model
LSTM
panel data model
structural break
credit risk
housing and stock markets
copula
ARDL
earnings manipulation
machine learning
natural gas
housing price
asymmetric dependence
real estate development loans
earnings management
cointegration
predictive accuracy
robust regression
quantile regression
dependence structure
housing loans
price discovery
utility of international currency
ATR
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346675203321
Hamori Shigeyuki  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Energy Data Analytics for Smart Meter Data
Energy Data Analytics for Smart Meter Data
Autore Reinhardt Andreas
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (346 p.)
Soggetto topico Technology: general issues
Soggetto non controllato smart grid
nontechnical losses
electricity theft detection
synthetic minority oversampling technique
K-means cluster
random forest
smart grids
smart energy system
smart meter
GDPR
data privacy
ethics
multi-label learning
Non-intrusive Load Monitoring
appliance recognition
fryze power theory
V-I trajectory
Convolutional Neural Network
distance similarity matrix
activation current
electric vehicle
synthetic data
exponential distribution
Poisson distribution
Gaussian mixture models
mathematical modeling
machine learning
simulation
Non-Intrusive Load Monitoring (NILM)
NILM datasets
power signature
electric load simulation
data-driven approaches
smart meters
text convolutional neural networks (TextCNN)
time-series classification
data annotation
non-intrusive load monitoring
semi-automatic labeling
appliance load signatures
ambient influences
device classification accuracy
NILM
signature
load disaggregation
transients
pulse generator
smart metering
smart power grids
power consumption data
energy data processing
user-centric applications of energy data
convolutional neural network
energy consumption
energy data analytics
energy disaggregation
real-time
smart meter data
transient load signature
attention mechanism
deep neural network
electrical energy
load scheduling
satisfaction
Shapley Value
solar photovoltaics
review
deep learning
deep neural networks
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557645803321
Reinhardt Andreas  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Energy Harvesting and Energy Storage Systems
Energy Harvesting and Energy Storage Systems
Autore Rajput Shailendra
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (256 p.)
Soggetto topico Research & information: general
Physics
Soggetto non controllato photovoltaic
parameter extraction
single-diode model
double-diode model
swarm intelligence
TSA
wind energy
renewable resources
Black-Scholes model
AC-DC converter
shunt regulator
full bridge rectifier
electrostatic vibration energy harvesting
fully integrated
IoT
charge pump
energy harvesting
thermoelectric
energy storage system (ESS)
battery management system (BMS)
battery efficiency
state of charge (SoC)
state of health (SoH)
on-chip integration
power management
supercapacitor
storage unit
unbalanced distribution networks
linear loads
non-linear loads
total harmonic distortion
harmonic power flow
proton exchange membrane fuel cell
parameter identification
optimization
energy storage
arithmetic optimization
microgrid
PLL
RTDS
direct power control
fuzzy logic
voltage source inverter
IoMT devices
energy autonomous
wearables
energy-storage
energy management
fog edge computing
task offloading
deep learning
reinforced learning
IoMT
sooty tern optimization
distributed generation
equilibrium optimization technique
wind turbines
photovoltaics
biomass generators
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566473503321
Rajput Shailendra  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Evolutionary Computation
Evolutionary Computation
Autore Alavi Amir
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (424 p.)
Soggetto non controllato individual updating strategy
integrated design
global optimum
flexible job shop scheduling problem
whale optimization algorithm
EHO
bat algorithm with multiple strategy coupling (mixBA)
multi-objective DV-Hop localization algorithm
optimization
rock types
variable neighborhood search
biology
average iteration times
CEC2013 benchmarks
slicing tree structure
firefly algorithm (FA)
benchmark
single loop
evolutionary computation
memetic algorithm
normal cloud model
0-1 knapsack problems
elite strategy
diversity maintenance
material handling path
artificial bee colony algorithm (ABC)
urban design
entropy
evolutionary algorithms (EAs)
monarch butterfly optimization
numerical simulation
architecture
set-union knapsack problem
Wilcoxon test
convolutional neural network
global position updating operator
particle swarm optimization
computation
minimum load coloring
topology structure
adaptive multi-swarm
minimum total dominating set
mutation operation
shape grammar
greedy optimization algorithm
?-Hilbert space
genetic algorithm
large scale optimization
large-scale optimization
NSGA-II-DV-Hop
constrained optimization problems (COPs)
first-arrival picking
transfer function
SPEA 2
stochastic ranking (SR)
wireless sensor networks (WSNs)
acceleration search
convergence point
fuzzy c-means
evolutionary algorithm
success rates
Artificial bee colony
particle swarm optimizer
random weight
range detection
adaptive weight
large-scale
automatic identification
cloud model
swarm intelligence
evolutionary multi-objective optimization
DV-Hop algorithm
bat algorithm (BA)
Friedman test
quantum uncertainty property
facility layout design
local search
deep learning
Y conditional cloud generator
benchmark functions
discrete algorithm
dispatching rule
DE algorithm
nonlinear convergence factor
energy-efficient job shop scheduling
t-test
evolution
dimension learning
global optimization
confidence term
elephant herding optimization
moth search algorithm
evolutionary
ISBN 3-03921-929-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367740503321
Alavi Amir  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Eye Movements and Visual Cognition
Eye Movements and Visual Cognition
Autore Klein Raymond M
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (378 p.)
Soggetto topico Research & information: general
Biology, life sciences
Soggetto non controllato attention
covert
oculomotor readiness hypothesis
premotor theory
exogenous
endogenous
eye abduction
scene perception
eye movements
eye tracking
gaze
memory
retrieval
vision
aging
autism
cognitive processing
social and everyday communication
theories of learning to read
orthography
phonology
adults
children
eye-tracking
visual search
X-ray images
security screening
medical image perception
scenes
reading
regressions
individual differences
multiple object tracking
multiple identity tracking
dynamic attention
unconscious
subliminal
top-down
bottom-up
contingent capture
anaphor
discourse comprehension
strategy
decision
saccades
masking
displacement perception
spatial stability
motion perception
serialism
parallelism
oculomotor control
salience
computational modelling
deep learning
Itti and Koch
inhibition of return
oculomotor system
orienting
cognitive aging
eye movements during reading
alphabetic reading
Chinese reading
event-related potentials
fixation-related potentials
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557431003321
Klein Raymond M  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui