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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
Advances in Mobile Mapping Technologies
Advances in Mobile Mapping Technologies
Autore Lehtola Ville
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (268 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato LiDAR
RetinaNet
inception
Mobile Laser Scanning
point clouds
data fusion
Lidar
point cloud density
point cloud coverage
mobile mapping systems
3D simulation
Pandar64
Ouster OS-1-64
mobile laser scanning
lever arm
boresight angles
plane-based calibration field
configuration analysis
accuracy
controllability
evaluation
control points
TLS reference point clouds
visual–inertial odometry
Helmert variance component estimation
line feature matching method
correlation coefficient
point and line features
mobile mapping
manhole cover
point cloud
F-CNN
transfer learning
CAM localization
loop closure detection
visual SLAM
semantic topology graph
graph matching
CNN features
deep learning
view planning
imaging network design
building 3D modelling
path planning
V-SLAM
real-time
guidance
embedded-systems
3D surveying
exposure control
photogrammetry
parking statistics
vehicle detection
robot operating system
3D camera
RGB-D
performance evaluation
convolutional neural networks
smart city
georeferencing
MSS
IEKF
DSIEKF
geometrical constraints
6-DoF
DTM
3D city model
dataset
laser scanning
3D mapping
synthetic
outdoor
semantic
scene completion
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566470903321
Lehtola Ville  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Smart Sensors and Devices in Artificial Intelligence
Smart Sensors and Devices in Artificial Intelligence
Autore Zhang Dan
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (336 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato microelectromechanical systems
inertial measurement unit
long short term memory recurrent neural networks
artificial intelligence
deep learning
CNN
LSTM
CO2 welding
molten pool
online monitoring
mechanical sensor
self-adaptiveness
ankle-foot exoskeleton
walking assistance
visual tracking
correlation filter
color histogram
adaptive hedge algorithm
scenario generation
autonomous vehicle
smart sensor and device
wireless sensor networks
task assignment
distributed
reliable
energy-efficient
audification
sensor
visualization
speech to text
text to speech
HF-OTH radar
AIS
radar tracking
data fusion
fuzzy functional dependencies
maritime surveillance
surgical robot end-effector
clamping force estimation
joint torque disturbance observer
PSO-BPNN
cable tension measurement
queue length
roadside sensor
vehicle detection
adverse weather
roadside LiDAR
data processing
air pollution
atmospheric data
IoT
machine learning
RNN
Sensors
smart cities
traffic flow
traffic forecasting
wireless sensor network
fruit condition monitoring
artificial neural network
ethylene gas
banana ripening
unidimensional ACGAN
signal recognition
data augmentation
link establishment behaviors
DenseNet
short-wave radio station
landing gear
adaptive landing
vehicle classification
FBG
smart sensors
outlier detection
local outlier factor
data streams
air quality monitoring
evacuation path
multi-story multi-exit building
temperature sensors
multi-time-slots planning
optimization
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557128403321
Zhang Dan  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Vehicular Sensor Networks : Applications, Advances and Challenges
Vehicular Sensor Networks : Applications, Advances and Challenges
Autore Kurugollu Fatih
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (238 p.)
Soggetto topico Information technology industries
Soggetto non controllato barrier control
sensors platform
vehicle detection
license plate recognition
raspberry-pi
features extraction
machine learning algorithms
connected vehicles, internet of vehicles
security
IoT
blockchain
vehicular ad-hoc network
wireless sensor networks
wake-up radio
medium access control protocol
receiver-initiated MAC protocol
traffic adaptation
software-defined vehicular network
vehicle-to-everything (V2X)
modeling and implementation
software defined network
information-centric networking (ICN)
client-cache (CC)
video on demand (VoD)
vehicular sensor network (VSN)
smart city
delay tolerant network
infrastructure offloading
opportunistic network
vehicular mobility
energy consumption
carbon emission
V2V communication
message contents plausibility
power control
vehicle edge computing
5G cellular networks
multi-receiver signcryption
privacy
PSO
genetic algorithm
ITS
UAV
simulation
dynamic positioning
3D placement
vehicular communications
cross-validation
anti-collaborative attack
resource-saving
trust computing
Caching
Named Data Networking
Information Centric Networking
Vehicular Ad Hoc Networks
5G
D2D communication
vehicle-to-vehicle communication
mode selection
vehicular social network
vehicular sensor networks (VSN)
vehicular ad-hoc networks (VANET)
privacy and trust
cyber security
multimedia and cellular communication
emerging IoT applications in VANET and VSN
blockchain within VANET and VSN
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Vehicular Sensor Networks
Record Nr. UNINA-9910557115103321
Kurugollu Fatih  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui