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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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Deep Learning-Based Action Recognition
Deep Learning-Based Action Recognition
Autore Lee Hyo Jong
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (240 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato human action recognition
graph convolution
high-order feature
spatio-temporal feature
feature fusion
dynamic gesture recognition
multi-modalities network
class regularization
3D-CNN
spatiotemporal activations
class-specific features
Dynamic Hand Gesture Recognition
human-computer interaction
hand shape features
pose estimation
stacked hourglass network
deep learning
convolutional receptive field
hand gesture recognition
human-machine interface
artificial intelligence
feedforward neural networks
spatio-temporal image formation
human activity recognition
fusion strategies
transfer learning
activity recognition
data augmentation
multi-person pose estimation
partitioned centerpose network
partition pose representation
continuous hand gesture recognition
gesture spotting
gesture classification
multi-modal features
3D skeletal
CNN
spatiotemporal feature
embedded system
real-time
action recognition
Long Short-Term Memory
spatio-temporal differential
ISBN 3-0365-5200-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910619465803321
Lee Hyo Jong  
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
Image and Video Processing and Recognition Based on Artificial Intelligence
Image and Video Processing and Recognition Based on Artificial Intelligence
Autore Park Kang Ryoung
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (431 p.)
Soggetto topico Technology: general issues
Soggetto non controllato emotion recognition
brain computer interface
bag of deep features
continuous wavelet transform
face image analysis
deep learning
face parsing
facial attributes classification
building extraction
convolutional neural networks
mask R-CNN
high-resolution remote sensing image
autoencoders
semi-supervised learning
computer vision
pathology
epidermis
skin
image processing
generative models
generative adversarial net
depth map
super-resolution
guidance
residual network
channel interaction
pose estimation
body orientation
multi-person
multi-task
surface defect detection
active learning
generative adversarial network
presentation attack detection
artificial image generation
presentation attack face images
ultrasound image
malignant thyroid nodule
artificial intelligence
weighted binary cross-entropy loss
infrared circumferential scanning system
target recognition
deep convolutional neural networks
data augmentation
transfer learning
bounding box regression
loss function
medical image fusion
convolutional neural network
image pyramid
multi-scale decomposition
armature
surface inspection
action recognition
social robotics
common spatial patterns
vehicle recognition
multi resolution network
optimization
semantic segmentation
global context
local context
fully convolutional networks
image-to-image conversion
image de-raining
label to photos
edges to photos
generative adversarial network (GAN)
remote sensing
helicopter footage
crowd counting
multitask learning
normalized cross-correlation
Marr wavelets
entropy and response
graph matching
RANSAC
GC–LSTM model
typhoon
satellite image
prediction system
monocular depth estimation
feature distillation
joint attention
finger-vein recognition
camera position
finger position
lighting
unobserved database
heterogeneous database
domain adaptation
cycle-consistent adversarial networks
SDUMLA-HMT-DB
HKPolyU-DB
biometrics
face recognition
single-sample face recognition
binarized statistical image features
K-nearest neighbors
sparse coding
fast approximation
homotopy iterative hard thresholding
object recognition
character recognition
orthogonal polynomials
orthogonal moments
Krawtchouk polynomials
Tchebichef polynomials
support vector machine
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557371203321
Park Kang Ryoung  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent Sensors for Human Motion Analysis
Intelligent Sensors for Human Motion Analysis
Autore Krzeszowski Tomasz
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (382 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato gait recognition
biometrics
regularized discriminant analysis
particle swarm optimization
grey wolf optimization
whale optimization algorithm
FMCW
vital sign
XGBoost
MFCC
COVID-19
3D human pose estimation
deep learning
generalization
optical sensing principle
modular sensing unit
plantar pressure measurement
gait parameters
3D human mesh reconstruction
deep neural network
motion capture
neural networks
reconstruction
gap filling
FFNN
LSTM
BILSTM
GRU
pose estimation
movement tracking
computer vision
artificial intelligence
markerless motion capture
assessment
kinematics
development
machine learning
human action recognition
features fusion
features selection
recognition
fall risk detection
balance
Berg Balance Scale
human tracking
elderly
telemedicine
diagnosis
precedence indicator
knowledge measure
fuzzy inference
rule induction
posture detection
aggregation function
markerless
human motion analysis
gait analysis
data augmentation
skeletal data
time series classification
EMG
pattern recognition
robot
cyber-physical systems
RGB-D sensors
human motion modelling
F-Formation
Kinect v2
Azure Kinect
Zed 2i
socially occupied space
facial expression recognition
facial landmarks
action units
convolutional neural networks
graph convolutional networks
artifact classification
artifact detection
anomaly detection
3D multi-person pose estimation
absolute poses
camera-centric coordinates
deep-learning
ISBN 3-0365-5074-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910619469003321
Krzeszowski Tomasz  
MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Magnetoelectric Sensor Systems and Applications
Magnetoelectric Sensor Systems and Applications
Autore Schmidt Gerhard
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (200 p.)
Soggetto topico Research & information: general
Physics
Electricity, electromagnetism & magnetism
Soggetto non controllato delta-E effect
magnetoelectric
magnetoelastic
resonator
torsion mode
bending mode
magnetic modeling
MEMS
FEM
magnetoelectric sensor
SQUID
MEG
deep brain stimulation (DBS)
directional DBS electrode
magnetic field measurement
electrode localization
rotational orientation detection
Barkhausen noise
delay line sensor
Flicker noise
Kerr microscopy
magnetic domain networks
magnetic field sensor
magnetic noise
magnetoelastic delta-E effect
phase noise
surface acoustic wave
localization
magnetoelectric sensors
real time
pose estimation
magnetoactive elastomer
piezoelectric polymer
laminated structure
cantilever
direct magnetoelectric effect
public understanding/outreach
ME sensors
medical sensing
biomagnetic sensing
interdisciplinary/multidisciplinary
magnetometer
sensor array
exchange bias
motion tracking
artificial fields
surface acoustic waves
surface acoustic wave sensor
current sensor
magnetostriction
AlScN
FeCoSiB
thin film
magnetron sputter deposition
ERDA
XRD
film stress
magnetic properties
magnetic domains
SAW
magnetic nanoparticle
imaging
inverse problem
blind deconvolution
application specific signal evaluation
quantitative sensor system characterization
sensor system performance
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566480603321
Schmidt Gerhard  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Tactile Sensors for Robotic Applications
Tactile Sensors for Robotic Applications
Autore Pirozzi Salvatore
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (248 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato distributed force/tactile sensing
dexterous manipulation
sensor calibration
contact modelling
force and tactile sensing
grasping and manipulation
grasp planning
object features recognition
robot hand-arm system
robot tactile systems
sensor fusion
slipping detection and avoidance
stiffness measurement
soft tactile sensing system
localization and object detecting
three-axis accelerometer
in-hand manipulation
pose estimation
machine learning
fuzzy control
underactuated robotic hands
ferromagnetic powder
soft material
tactile sensor
magnetic field orientation
force sensing
force sensor
tactile sensing
linear regression
hysteresis compensation
contact location in tactile sensor
soft tactile sensors
deformable continuous force transfer medium
array of discrete tactile sensors
soft robotics
robotic hand and gripper
haptic telepresence
braille device
braille application
visually impaired people
tactile perception
robotic palpation
underactuated grippers
deep learning
sensorised fingers
tactile sensors
parametric model
robotic fingers
prosthetic fingers
hand prostheses
anthropomorphic robotic hands
vibrissa
bio-inspired sensor
contour scanning
multi-point contact
actuator
deafblind communication
tactile display
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557676503321
Pirozzi Salvatore  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Wearable Movement Sensors for Rehabilitation: From Technology to Clinical Practice
Wearable Movement Sensors for Rehabilitation: From Technology to Clinical Practice
Autore Ribbers Gerard M
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (328 p.)
Soggetto topico Technology: general issues
Soggetto non controllato accelerometers
wearable sensors
exercise
measurement
GMFCS level
relative orientation estimation
IMU
magnetometer-free
gait analysis
machine learning
inertial measurement units
neurological disorders
falls
validity
3-D motion analysis
single leg squat
motion capture
clinical
rehabilitation
motor function
outcomes
implementation
locomotion
assistive devices
embedded sensors
accelerometry
physical activity
Fourier transform
functional linear model
walking distance
lower limb amputation
gait
Lie group
constrained extended Kalman filter
pose estimation
wearable devices
distance measurement
gait planning
stride length
center of pressure
human-machine interaction
perinatal stroke
kinematics
upper extremity
cerebral palsy
hemiplegia
constraint
inertial measurement unit
wireless sensors network
motion tracking
range of motion
shoulder
goniometer
spinal cord injury
tetraplegia
clinical setting
circadian motor behavior
body-worn sensors
older adults
physically active workers
low back pain
inertial motion units
wearable sensor
real-time gait detection
insole pressure sensors
pathological gait
gait rehabilitation
assistive device
wearable technology
stroke
physical therapy
arm use
upper limb performance
accelerometer
sensor
walking
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Wearable Movement Sensors for Rehabilitation
Record Nr. UNINA-9910557359503321
Ribbers Gerard M  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui