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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
Opac: Controlla la disponibilità qui
Application and Theory of Multimedia Signal Processing Using Machine Learning or Advanced Methods
Application and Theory of Multimedia Signal Processing Using Machine Learning or Advanced Methods
Autore Kim Cheonshik
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (196 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato data hiding
AMBTC
BTC
Hamming code
LSB
predicate encryption
inner product encryption
constant-size private key
efficient decryption
constant pairing computations
watermarking
self-embedding
digital signature
fragile watermarking
constrained backtracking matching pursuit
sparse reconstruction
compressed sensing
greedy pursuit algorithm
image processing
visual surveillance
deep learning
object detection
latency optimization
mobile edge cloud
connected autonomous cars
smart city
video surveillance
physical layer security
secure transmission
secrecy capacity
secrecy capacity optimization artificial noise
power allocation
channel estimation error
neural network
transfer learning
scalograms
MFCC
Log-mel
pre-trained models
seismic patch classification
CNN-features
data complexity
handwritten text recognition
Residual Network
Transformer model
named entity recognition
ISBN 3-0365-5394-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910619469803321
Kim Cheonshik  
MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
Intelligent Systems Supporting the Use of Energy Systems and Other Complex Technical Objects, Modeling, Testing and Analysis of Their Reliability in the Operation Process
Intelligent Systems Supporting the Use of Energy Systems and Other Complex Technical Objects, Modeling, Testing and Analysis of Their Reliability in the Operation Process
Autore Duer Stanisław
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (128 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato information quality (IQ)
modeling
uncertainty
information and communication technologies (ICT)
intrusion detection system
detection circuit
temperature
tripping thresholds
climatic chamber
temperature characteristics
diagnosis reliability
fire alarm system
critical infrastructure
reliability requirements
construction facilities
electronic security system
electromagnetic interference
operation
video surveillance
railway safety systems
rail safety systems
reliability
servicing process
intelligent systems
wind farm device
diagnostic process
expert system
knowledge base
neural networks
diagnostic information
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910674050103321
Duer Stanisław  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui