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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 online resource (454 p.)
Soggetto topico Information technology industries
Soggetto non controllato 3D convolutional neural networks
3D imaging
activity measure
advanced driver assistance system (ADAS)
anchor box
artefacts
artificial bee colony
atrous convolution
augmented reality
automatic design
benchmark
bio-inspired techniques
brain hemorrhage
cascade classifier
cascaded center-ness
citrus
CNN
complex search request
computer vision
continuous casting
convolution neural networks (CNNs)
convolutional neural network
convolutional neural networks
cross-scale
CT brain
CT images
data acquisition
deep learning
deep sort
defect detection
deformable localization
drone detection
evidence chains
evolving connectionist systems
fabric defect
feature extraction
feature fusion
few shot learning
focal loss
generative adversarial network
grow-when-required neural network
hand gesture recognition
hepatic cancer
high-speed trains
human-robot interaction
Hungarian algorithm
hunting
image analysis
image processing
image recognition
industrial environments
information retriever sensor
InSAR
machine learning
marine systems
mixed kernels
multi-hop reasoning
multi-scale
multi-sensor fusion
n/a
nearest neighbor filtering
neural network
non-stationary
object detection
object detector
object tracking
one-class classifier
optical flows
parameter efficiency
pests and diseases identification
pixel convolution
pose estimation
reinforcement learning
RFI
semantic segmentation
ship classification
ship radiated noise
spatial pooling
spatiotemporal interest points
sports scene
superalloy tool
surface defects
surface electromyography (sEMG)
SVM
synthetic images
three-dimensional (3D) vision
thresholding
tool wear monitoring
Traffic sign detection and tracking (TSDR)
UAV detection
UAV imagery
underwater acoustics
unmanned aerial vehicles
vehicle detection
vehicular traffic congestion
vehicular traffic flow classification
vehicular traffic flow detection
video classification
video surveillance
visual detection
visual inspection
visual question answering
Yolo
YOLOv2
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
Opac: Controlla la disponibilità qui
Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images
Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images
Autore Bazi Yakoub
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (438 p.)
Soggetto topico Research and information: general
Soggetto non controllato 3D information
adversarial learning
anomaly detection
Batch Normalization
building damage assessment
CNN
conditional random field (CRF)
convolution
convolutional neural network
convolutional neural networks
CycleGAN
data augmentation
deep convolutional networks
deep features
deep learning
densenet
DenseUNet
depthwise atrous convolution
desert
despeckling
edge enhancement
EfficientNets
faster region-based convolutional neural network (FRCNN)
feature engineering
feature fusion
framework
generative adversarial networks
Generative Adversarial Networks
global convolution network
hand-crafted features
high spatial resolution remote sensing
high-resolution remote sensing image
high-resolution remote sensing imagery
high-resolution representations
hyperspectral image classification
image classification
infrastructure
ISPRS vaihingen
Landsat-8
lifting scheme
LSTM
LSTM network
machine learning
mapping
min-max entropy
misalignments
monitoring
multi-scale
nearest feature selector
neural networks
object detection
object-based
Open Street Map
open-set domain adaptation
orthophoto
orthophotos registration
orthophotos segmentation
OUDN algorithm
outline extraction
pareto ranking
pavement markings
pixel-wise classification
plant disease detection
post-disaster
precision agriculture
remote sensing
remote sensing imagery
result correction
road
road extraction
SAR
satellite
satellites
scene classification
semantic segmentation
Sentinel-1
single-shot
single-shot multibox detector (SSD)
Sinkhorn loss
sub-pixel
super-resolution
synthetic aperture radar
text image matching
triplet networks
two stream residual network
U-Net
UAV multispectral images
Unmanned Aerial Vehicles (UAV)
unsupervised segmentation
urban forests
visibility
water identification
water index
wildfire detection
xBD
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557747903321
Bazi Yakoub  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Machine Learning Applications in Big Data Analytics
Advanced Machine Learning Applications in Big Data Analytics
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2023
Descrizione fisica 1 online resource (654 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato 1D quadratic chaotic system
adaptive learning
adversarial attacks
ARMA
attentional mechanisms
BaaS system
bagging model
behavior detection
blockchain consensus algorithm
border patrol
BP
butterfly optimization algorithm
capacitated vehicle routing planning
CBAM
CBCFI
classification algorithms
cloud
clustering algorithms
CNN
color image
combined prediction model
community clustering
complementary ensemble empirical mode decomposition (CEEMD)
composite multi-scale dispersion entropy
computer vision
concept drift
confidentiality management
convolutional neural networks
coupled map lattice
COVID-19
crisscross search
data stream mining
deep belief network
deep feature
deep learning
design science research
differential evolution
digital archives
disease classification
DNA coding
DNA computing
DNA sequences design
document classification
dual-update strategy
ELM
embedding propagation
emotion-cause pair extraction
energy storage
error coefficient
event extraction
event trigger words
event type
extreme learning machine
fault diagnosis
feature selection
financial time series forecasting
flight safety
forecasting
forex
GA
generative adversarial network
global optimization
GM
graph attention network
graph convolutional network
graph neural network
gravity search
hash function
health
Hemerocallis citrina Baroni
heterogeneous graph
hierarchical clustering
hierarchical model
high-plateau flight
hybrid model
hyperspectral image classification
image classification
image encryption
improved matrix particle swarm optimization algorithm (IMPSO)
incremental learning
information system
information systems
infrared
Jaccard distance
KNN
least squares method
lightweight neural networks
long short-term memory network
machine learning
maturity detection
mean absolute error
mean-semivariance model
membership grade
meta-heuristic
model predictive control
multi-behavior recommendation
multi-strategy
MultiRocket
n/a
neural architecture search
neural networks
NLP
object detection
online learning
opposition-based learning
output optimization
overseas Chinese associations
particle swarm optimization
peak shaving and frequency regulation
performance analysis
pilot abnormal behavior
pixel level
polymorphic mapping
portfolio optimization
principal component analysis
PROPHET
PSO
quantum dynamics
quick access recorder
random replacement
ridge regression
saving mileage
sequential recommendation
service level agreement
short-term traffic-flow forecasting
signal-to-noise ratio distance
sliding window
spatial-temporal systems
splicing model
stacking model
stock announcement news
stock return
support vector machine
support vector machine swarm intelligence
support vector machines
swarm intelligence
talent stability prediction
target detection
time series
time series classification
tomato leaf
traffic flow forecasting
transaction priority
variational mode decomposition
warning system
whale optimization algorithm
YOLOv4 algorithm
YOLOv5 algorithm
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910743276603321
MDPI - Multidisciplinary Digital Publishing Institute, 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Methods of Power Load Forecasting
Advanced Methods of Power Load Forecasting
Autore García-Díaz J. Carlos
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (128 p.)
Soggetto topico Physics
Research and information: general
Soggetto non controllato Artificial Neural Network
attention
bidirectional long short-term memory
CNN
deep learning
deep neural network
demand
DIMS
encoder decoder
forecast
galvanizing
Holt-Winters model
irregular
load
long-term forecasting
LSTM
machine learning
multi-layer stacked
multiple seasonality
neural network
online training
parameters tuning
peak load
power system
prophet model
Prophet model
recurrent neural network
short-term electrical load forecasting
short-term load forecast
short-term load forecasting
statistical analysis
time series
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910576883403321
García-Díaz J. Carlos  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Sensors for Real-Time Monitoring Applications
Advanced Sensors for Real-Time Monitoring Applications
Autore Korostynska Olga
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (350 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato 3D camera
3D surface roughness parameters
accuracy
actigraphy
adaptive dropout
allergens
amorphous core
background correction
Bluetooth technology
body condition score
bridge structure
chemometrics
CNN
color space
condition indicator
condition monitoring
condition recognition
contact state
continuous water quality monitor
correlation algorithm
correlation analysis
diesel engine
digital approach
distributed vibration
drying period
dynamic measurement
electrostatic sensor
FDR sensor
fertilizer
flow accelerated corrosion
food contaminant screening
Fourier transform
freeze-drying process diagnosis
freezing/drying point
functionalised coating
genetic algorithm
grid method
high temperature pipe
highly nonlinear solitary waves
hyperactivity
image correction
incursion detection
IR-UWB radar sensor
laser-induced breakdown spectroscopy
lateral flow assay quantification
least squares
low-cost
LSTM
microwave spectroscopy
molecularly imprinted polymers
movement disorder
multisensor system
nondestructive evaluation
numerical verification
optimization criterion
parallel position
particle detection
particle swarm optimization
phosphorus element
pipe wall thinning
point of site analyses
power dissipation
pre-pressure
railway crossing
railway track maintenance
real time monitoring
real-time monitoring
regression analysis
resonance
rotary parlor
rotational speed
satellite compass
sensitivity
sensor calibration and validation
signal extraction
smartphone colorimetrics
soil pore water electrical conductivity
soil salinity
soil water content
spectrum analysis
support vector regression
temperature
train hunting
train tracking
traveling wave ultrasonic motor
turbidity
ultra-weak FBG
ultrasonic transducer (UT)
underground structure safety
vibrating wire strain sensor
water
water quality
weather impact
wheel-rail impact
wireless sensing
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557487803321
Korostynska Olga  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
AI-Based Transportation Planning and Operation
AI-Based Transportation Planning and Operation
Autore Sohn Keemin
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (124 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato artificial neural network
autoencoder
automated vehicle
black ice
bottleneck and gridlock identification
CNN
context-awareness
CycleGAN
deep learning
deep neural networks
driving cycle
dynamic pricing
gridlock prediction
link embedding
link emission factors
long short-term memory
micro-level vehicle emission estimation
MOVES
prevention
preventive automated driving system
reachability analysis
reinforcement learning
ridesharing
spatio-temporal data
supply improvement
taxi
traffic accidents
traffic flow centrality
traffic speed prediction
traffic volume
urban road network
vehicle counting
vehicle GPS data
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557486603321
Sohn Keemin  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applications of Artificial Intelligence in Medicine Practice
Applications of Artificial Intelligence in Medicine Practice
Autore Kang Kyungtae
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (184 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato advanced statistics
aggression
ATLAS
backdoor attacks
Bayesian learning
brain
cerebral infarction
clinical decision support systems
CNN
computational intelligence
computer vision
convolutional neural network
COVID-19
CT image segmentation
CycleGAN
deep learning
deep neural networks
digital pathology
DNET
dysembryoplastic neuroepithelial tumor
endoscopy
feature selection
forensic psychiatry
fundus images
ganglioglioma
gastric cancer
HarDNet
healthcare
instance-based learning
kernel density
kernel formulation
machine learning
medical assistance
medical image segmentation
medical imaging
mental disorders
MRI
n/a
neuroimaging
ophthalmology
pituitary adenoma
schizophrenia
security and privacy
segmentation
semi-automated labeling tool
SVM
Swin transformer
U-Net
visual acuity
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910673905003321
Kang Kyungtae  
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 online resource (116 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato active distribution system
boiler load constraints
CNN
combined economic emission/environmental dispatch
Combustion efficiency
defect detection
differential evolution algorithm
economic load dispatch
electricity load forecasting
emission dispatch
feature extraction
genetic algorithm
genetic algorithm (GA)
glass insulator
grid observability
incipient cable failure
inertia weight
least square support vector machine
localization
long short term memory (LSTM)
meter allocation
model predictive control
multivariate time series
NOx emissions constraints
parameter estimation
particle swarm optimization
particle update mode
penalty factor approach
reactive power optimization
self-shattering
short term load forecasting (STLF)
spatial features
VMD
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
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 online resource (258 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato ambient assisted living
artificial intelligence
artificial neural network
artificial neural networks
CNN
computational intelligence
conditional random fields
decision tree
deep learning
demand response
demand side management
distributed genetic algorithm
drill-in fluid
ELR
energy
energy disaggregation
energy efficient coverage
energy management
ERELM
Faster R-CNN
feature extraction
forecasting
genetic algorithm
home energy management
home energy management systems
insulator
internet of things
Jetson TX2
load
load disaggregation
LR
LSTM
machine learning
Marsh funnel
MCP39F511
mud rheology
multiple kernel learning
NILM
non-intrusive load monitoring
nonintrusive load monitoring
object detection
optimization algorithms
plastic viscosity
policy making
price
RELM
RPN
sandstone reservoirs
scheduling
self-adaptive differential evolution algorithm
sensor network
smart cities
smart city
smart grid
smart grids
smart metering
smart villages
static young's modulus
support vector machine
sustainable development
transient signature
wireless sensor networks
yield point
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
Artificial Intelligence in Medical Image Processing and Segmentation
Artificial Intelligence in Medical Image Processing and Segmentation
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2023
Descrizione fisica 1 online resource (348 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato 2D ultrasound image
2D/3D registration
3D virtual reconstruction
ALO
artificial hummingbird algorithm
artificial intelligence
artificial neural network (ANN)
attention mechanism
auto-segmentation
automatic volume measurement
breast cancer
breast density
CAD
canonical correlation analysis (CCA)
carbon ion radiotherapy
CBCT
cervical cancer
cervical net
children
CNN
comparison
computer vision applications
convolutional neural network
Convolutional Neural Networks
Cranio-Maxillofacial surgery
CT
DarkNet-19
deep learning
deep learning structures
DICOM
directional total variation
disease discrimination accuracy
dual-energy CT
edge computing
ensemble learning
feature fusion
feature selection
fundus image
GAN
Grad-CAM
hematoxylin eosin
histopathological
histopathology
histopathology images
image enhancement
image inpainting
image normalization
image preprocessing
image registration
image segmentation
image-guided radiotherapy
in-house
instance segmentation
k-nearest neighbour (KNN)
lesion segmentation
limited-angular range
loss function
magnetic resonance imaging
mandible
mask-transformer-based networks
medical image analysis
medical imaging
mitotic nuclei classification
MobileNet
mp-MRI
MRI
MRI guidance
MRI-only
multi-contrast MRI
NasNet
neuroimaging
nuclei detection
nuclei segmentation
OCT
orthogonal X-ray
osteoarthritis
ovarian tumor
PA
panoptic segmentation
panoramic radiographs
pap smear
particle therapy
patch size
PCA
PCNSL
performance comparisons
prostate cancer
prostate segmentation
pyramidal network
radiomics
random forest (RF)
rare neurodevelopmental disorder
rare tumor
ResNet-101
safranin O fast green
scale-adaptive
segmentation
semantic segmentation
shuffle net
ShuffleNet
software
support vector machine
support vector machine (SVM)
synthetic CT
teeth segmentation
textural
tooth disease recognition
tuberous sclerosis complex
two-step method
U-Net
ultrasound bladder scanner
urinary disease
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910743276403321
MDPI - Multidisciplinary Digital Publishing Institute, 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui