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Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments
Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments
Autore Woźniak Marcin
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (454 p.)
Soggetto topico Information technology industries
Soggetto non controllato Traffic sign detection and tracking (TSDR)
advanced driver assistance system (ADAS)
computer vision
3D convolutional neural networks
machine learning
CT brain
brain hemorrhage
visual inspection
one-class classifier
grow-when-required neural network
evolving connectionist systems
automatic design
bio-inspired techniques
artificial bee colony
image analysis
feature extraction
ship classification
marine systems
citrus
pests and diseases identification
convolutional neural network
parameter efficiency
vehicle detection
YOLOv2
focal loss
anchor box
multi-scale
deep learning
neural network
generative adversarial network
synthetic images
tool wear monitoring
superalloy tool
image recognition
object detection
UAV imagery
vehicular traffic flow detection
vehicular traffic flow classification
vehicular traffic congestion
video classification
benchmark
semantic segmentation
atrous convolution
spatial pooling
ship radiated noise
underwater acoustics
surface electromyography (sEMG)
convolution neural networks (CNNs)
hand gesture recognition
fabric defect
mixed kernels
cross-scale
cascaded center-ness
deformable localization
continuous casting
surface defects
3D imaging
defect detection
object detector
object tracking
activity measure
Yolo
deep sort
Hungarian algorithm
optical flows
spatiotemporal interest points
sports scene
CT images
convolutional neural networks
hepatic cancer
visual question answering
three-dimensional (3D) vision
reinforcement learning
human-robot interaction
few shot learning
SVM
CNN
cascade classifier
video surveillance
RFI
artefacts
InSAR
image processing
pixel convolution
thresholding
nearest neighbor filtering
data acquisition
augmented reality
pose estimation
industrial environments
information retriever sensor
multi-hop reasoning
evidence chains
complex search request
high-speed trains
hunting
non-stationary
feature fusion
multi-sensor fusion
unmanned aerial vehicles
drone detection
UAV detection
visual detection
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557360703321
Woźniak Marcin  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Image Processing, Analysis and Recognition Technology
Advances in Image Processing, Analysis and Recognition Technology
Autore Frejlichowski Dariusz
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (386 p.)
Soggetto topico Information technology industries
Computer science
Soggetto non controllato CIELab
component Substitution
Pan sharpening
Pléiades VHR Image
coal
inertinite macerals
classification
multifractal analysis
support vector machine
block-based coding
video coding
H.265/HEVC
affine motion compensation
image registration
homography matrix
local homography transformation
convolutional neural network
moving direct linear transformation
super-resolution (SR)
convolution neural network (CNN)
Gene Expression Programming (GEP)
deep learning
image preclassification
suspicious behavior detection
motion
magnitude
gradient
reactivity
saliency
haze removal
dark channel
atmospheric-light estimation
coarse-to-fine search strategy
sparse dictionary
stable recovery
frame
RIP
local dimming
retinex theory
bi-histogram equalization
contrast ratio
details preservation
pansharpening
image fusion
image quality
Satellite Pour l'Observation de la Terre (SPOT) 6
spectral consistency
spatial consistency
synthesis
artificial intelligence
dental application
images
detection
parseval frame
transform
sparse representation
octave convolution
bilingual scene text reading
Ethiopic script
attention
nasal cytology
automatic cell segmentation
rhinology
image analysis
feature extraction
shape context
plant recognition
DPCNN
BOF
numeral spotting
historical document analysis
convolutional neural networks
deep transfer learning
handwritten digit recognition
spectrum correction
intensity correction
compressed sensing
tradeoff process
IKONOS
remote sensing
fine-tuning
learning rate scheduler
cyclical learning rates
label smoothing
classification accuracy
neural networks
salient object detection
RGB-D
object detection
small object
multi-scale sampling
balanced sampling
texture
structure
optical
coke
iron ore
sinter
image processing
segmentation
identification
action recognition
silhouette sequences
shape features
ambient assisted living
active ageing
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910576879103321
Frejlichowski Dariusz  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Sensors and Sensing for Technical Condition Assessment and NDT
Advances in Sensors and Sensing for Technical Condition Assessment and NDT
Autore Boczar Tomasz
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (216 p.)
Soggetto topico Technology: general issues
Soggetto non controllato pulse compression
scattering
attenuation
insulation
ultrasonic testing
OLTC
AE sensor
acoustic emission
feature extraction
supervised classification
machine learning
contrast-enhanced ultrasound
muscle perfusion
Nakagami parameter
compounding Nakagami imaging
low-frequency sensor
power transformer
low-frequency noise
genetic algorithm
geometric layout of railway track
track axis identification
tramway loop
route's polygon
GNSS mobile measurements
vibroarthography
VAG
knee joint
spectral features
frequency analysis
non-invasive examination
lateral temperature gradient
temperature field
boundary conditions
solar radiation intensity
temperature monitoring
non-destructive evaluation
eddy current
3D sensing
inverse problem
wavelet transform
principal component analysis
neural network
incubation
spectrum
image processing
ROC curve
infrasound measurement system
wind turbine
infrasound correlation analysis
measuring scale
thermoelastic deformation
coefficient of thermal expansion
elastic waves
laser ultrasound
Fizeau fiber interferometer
defect identification
high-current pulses
current measurement
high-current shunts
circuit modeling
Rogowski coil
electrodynamic accelerators
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557471903321
Boczar Tomasz  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
AI Applications to Power Systems
AI Applications to Power Systems
Autore Tjing Lie Tek
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (156 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato self-healing grid
machine-learning
feature extraction
event detection
optimization techniques
manta ray foraging optimization algorithm
multi-objective function
radial networks
optimal power flow
automatic P2P energy trading
Markov decision process
deep reinforcement learning
deep Q-network
long short-term delayed reward
inter-area oscillations
modal analysis
reduced order modeling
dynamic mode decomposition
machine learning
artificial neural networks
steady-state security assessment
situation awareness
cellular computational networks
load flow prediction
contingency
fuzzy system
change detection
data analytics
data mining
filtering
optimization
power quality
signal processing
total variation smoothing
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566478903321
Tjing Lie Tek  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applications of Computational Intelligence to Power Systems
Applications of Computational Intelligence to Power Systems
Autore Kodogiannis Vassilis S
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (116 p.)
Soggetto non controllato localization
reactive power optimization
model predictive control
CNN
long short term memory (LSTM)
meter allocation
particle update mode
combined economic emission/environmental dispatch
glass insulator
emission dispatch
genetic algorithm
grid observability
defect detection
feature extraction
parameter estimation
incipient cable failure
active distribution system
boiler load constraints
multivariate time series
particle swarm optimization
inertia weight
VMD
NOx emissions constraints
spatial features
penalty factor approach
self-shattering
differential evolution algorithm
short term load forecasting (STLF)
genetic algorithm (GA)
economic load dispatch
least square support vector machine
Combustion efficiency
electricity load forecasting
ISBN 3-03921-761-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367747103321
Kodogiannis Vassilis S  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Applied Mathematics and Computational Physics
Applied Mathematics and Computational Physics
Autore Wood Aihua
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (273 p.)
Soggetto topico Research & information: general
Mathematics & science
Soggetto non controllato radial basis functions
finite difference methods
traveling waves
non-uniform grids
chaotic oscillator
one-step method
multi-step method
computer arithmetic
FPGA
high strain rate impact
modeling and simulation
smoothed particle hydrodynamics
finite element analysis
hybrid nanofluid
heat transfer
non-isothermal
shrinking surface
MHD
radiation
multilayer perceptrons
quaternion neural networks
metaheuristic optimization
genetic algorithms
micropolar fluid
constricted channel
MHD pulsatile flow
strouhal number
flow pulsation parameter
multiple integral finite volume method
finite difference method
Rosenau-KdV
conservation
solvability
convergence
transmission electron microscopy (TEM)
convolutional neural networks (CNN)
anomaly detection
principal component analysis (PCA)
machine learning
deep learning
neural networks
Gallium-Arsenide (GaAs)
radiation-based flowmeter
two-phase flow
feature extraction
artificial intelligence
time domain
Boltzmann equation
collision integral
convolutional neural network
annular regime
scale layer-independent
petroleum pipeline
volume fraction
dual energy technique
prescribed heat flux
similarity solutions
dual solutions
stability analysis
RBF-FD
node sampling
lebesgue constant
complex regions
finite-difference methods
data assimilation
model order reduction
finite elements analysis
high dimensional data
welding
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557337303321
Wood Aihua  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial Intelligence for Smart and Sustainable Energy Systems and Applications
Artificial Intelligence for Smart and Sustainable Energy Systems and Applications
Autore Lytras Miltiadis
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (258 p.)
Soggetto non controllato artificial neural network
home energy management systems
conditional random fields
LR
ELR
energy disaggregation
artificial intelligence
genetic algorithm
decision tree
static young’s modulus
price
scheduling
self-adaptive differential evolution algorithm
Marsh funnel
energy
yield point
non-intrusive load monitoring
mud rheology
distributed genetic algorithm
MCP39F511
Jetson TX2
sustainable development
artificial neural networks
transient signature
load disaggregation
smart villages
ambient assisted living
smart cities
demand side management
smart city
CNN
wireless sensor networks
object detection
drill-in fluid
ERELM
sandstone reservoirs
RPN
deep learning
RELM
smart grids
multiple kernel learning
load
feature extraction
NILM
energy management
energy efficient coverage
insulator
Faster R-CNN
home energy management
smart grid
LSTM
smart metering
optimization algorithms
forecasting
plastic viscosity
machine learning
computational intelligence
policy making
support vector machine
internet of things
sensor network
nonintrusive load monitoring
demand response
ISBN 3-03928-890-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910404078103321
Lytras Miltiadis  
MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational Intelligence in Healthcare
Computational Intelligence in Healthcare
Autore Castellano Giovanna
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (226 p.)
Soggetto topico Information technology industries
Soggetto non controllato sEMG
deep learning
neural networks
gait phase
classification
everyday walking
convolutional neural network
CRISPR
leukemia nucleus image
segmentation
soft covering rough set
clustering
machine learning algorithm
soft computing
multistage support vector machine model
multiple imputation by chained equations
SVM-based recursive feature elimination
unipolar depression
diabetic retinopathy (DR)
pre-trained deep ConvNet
uni-modal deep features
multi-modal deep features
transfer learning
1D pooling
cross pooling
IMU
gait analysis
long-term monitoring
multi-unit
multi-sensor
time synchronization
Internet of Medical Things
body area network
MIMU
early detection
sepsis
evaluation metrics
machine learning
medical informatics
feature extraction
physionet challenge
electrocardiogram
Premature ventricular contraction
sparse autoencoder
unsupervised learning
Softmax regression
medical diagnosis
artificial neural network
e-health
Tri-Fog Health System
fault data elimination
health status prediction
health status detection
health off
diffusion tensor imaging
ensemble learning
decision support systems
healthcare
computational intelligence
Alzheimer's disease
fuzzy inference systems
genetic algorithms
next-generation sequencing
ovarian cancer
interpretable models
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910674044803321
Castellano Giovanna  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data Analytics and Applications of the Wearable Sensors in Healthcare
Data Analytics and Applications of the Wearable Sensors in Healthcare
Autore Syed Abdul Shabbir
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (498 p.)
Soggetto topico Humanities
Social interaction
Soggetto non controllato eHealth
wearable
monitoring
services
integration
IoT
Telemedicine
wearable sensors
multivariate analysis
longitudinal study
functional decline
exercise intervention
accidental falls
fall detection
real-world
signal analysis
performance measures
non-wearable sensors
accelerometers
cameras
machine learning
smart textiles
healthcare
talking detection
activity recognition and monitoring
patient health and state monitoring
wearable sensing
orientation-invariant sensing
motion sensors
accelerometer
gyroscope
magnetometer
pattern classification
artificial intelligence
supervised machine learning
predictive analytics
hemodialysis
non-contact sensor
heart rate
respiration rate
heart rate variability
time-domain features
frequency-domain features
principal component analysis
behaviour analysis
classifier efficiency
personal risk detection
one-class classification
actigraphy
encoding
data compression
denoising
edge computing
signal processing
wearables
activity monitoring
citizen science
cluster analysis
physical activity
sedentary behavior
walking
energy expenditure
wearable device
impedance pneumography
neural network
mechanocardiogram (MCG)
smart clothes
heart failure (HF)
left ventricular ejection fraction (LVEF)
technology acceptance model (TAM)
physical activity classification
free-living
GENEactiv accelerometer
Gaussian mixture model
hidden Markov model
wavelets
skill assessment
deep learning
LSTM
state space model
probabilistic inference
latent features
human activity recognition
MIMU
genetic algorithm
feature selection
classifier optimization
bispectrum
entropy
feature extraction
heat stroke
filtering algorithm
physiological parameters
exercise experiment
biomedical signal processing
wearable biomedical sensors
wireless sensor network
respiratory monitoring
optoelectronic plethysmography
biofeedback
biomedical technology
exercise therapy
orthopedics
mobile health
qualitative
human factors
inertial measurement unit
disease prevention
occupational healthcare
P-Ergonomics
precision ergonomics
musculoskeletal disorders
wellbeing at work
electrocardiogram
conductive gels
noncontact electrode
myocardial ischemia
pacemaker
ventricular premature contraction
upper extremity
motion
action research arm test
activities of daily living
IoT wearable monitor
health
posture analysis
spinal posture
wearable sensor
embedded system
recurrent neural networks
physical workload
wearable systems for healthcare
machine learning for real-time applications
actigraph
body worn sensors
clothing sensors
cross correlation analysis
healthcare movement sensing
wearable devices
calibration
inertial measurement units
human movement
physical activity type
real-life
GPS
GIS
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557288603321
Syed Abdul Shabbir  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Data Science and Knowledge Discovery
Data Science and Knowledge Discovery
Autore Portela Filipe
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (254 p.)
Soggetto topico Information technology industries
Computer science
Soggetto non controllato crisis reporting
chatbots
journalists
news media
COVID-19
textbook research
digital humanities
digital infrastructures
data analysis
content base image retrieval
semantic information retrieval
deep features
multimedia document retrieval
data science
open government data
governance and social institutions
economic determinants of open data
geoinformation technology
fractal dimension
territorial road network
box-counting framework
script Python
ArcGIS
internet of things
LoRaWAN
ICT
The Things Network
ESP32 microcontroller
decision systems
rule based systems
databases
rough sets
prediction by partial matching
spatio-temporal
activity recognition
smart homes
artificial intelligence
automation
e-commerce
machine learning
big data
customer relationship management (CRM)
distracted driving
driving behavior
driving operation area
data augmentation
feature extraction
authorship
text mining
attribution
neural networks
deep learning
forensic intelligence
dashboard
WebGIS
data analytics
SARS-CoV-2
Big Data
Web Intelligence
media analytics
social sciences
humanities
linked open data
adaptation process
interdisciplinary research
media criticism
classification
information systems
public health
data mining
ioCOVID19
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910576878103321
Portela Filipe  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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