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Advanced Technique and Future Perspective for Next Generation Optical Fiber Communications
Advanced Technique and Future Perspective for Next Generation Optical Fiber Communications
Autore Zhao Jian
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (134 p.)
Soggetto topico Research & information: general
Physics
Soggetto non controllato optical communication
frame transmission
synchronization word
blind recognition
Hough transform
machine learning
optical communications
patent analysis
network analysis
technical analysis
fiber nonlinearities
deep learning (DL)
artificial intelligence (AI)
BPSK-VSB
BPSK-SSB
fiber transmission
optical neural networks
time lens
fiber
dispersion Fourier transform
high-flux imaging
classification
cancer cell recognition
photon time stretching (PTS)
passive optical networks
laser tuning time
TWDM
Dynamic Bandwidth Allocation
optical access networks
scheduling
FSOC system
omnidirectional communication
miniaturization
ASE noise
ICC
DWDM-FSO/PON optical fiber network
hybrid OOK/M-ary DPPM-M-PAPM
hybrid fiber FSO (HFFSO) link
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910576880503321
Zhao Jian  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Intelligent Vehicles
Intelligent Vehicles
Autore Fernández-Llorca David
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (752 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato tracking-by-detection
multi-vehicle tracking
Siamese network
data association
Markov decision process
driving behavior
real-time monitoring
driver distraction
mobile application
portable system
simulation test
dynamic driving behavior
traffic scene augmentation
corridor model
IMU
vision
classification networks
Hough transform
lane markings detection
semantic segmentation
transfer learning
autonomous
off-road driving
tire-road forces estimation
slip angle estimation
gauge sensors
fuzzy logic system
load transfer estimation
simulation results
normalization
lateral force empirical model
driver monitor
lane departure
statistical process control
fault detection
sensor fault
signal restoration
intelligent vehicle
autonomous vehicle
kinematic model
visual SLAM
sparse direct method
photometric calibration
corner detection and filtering
loop closure detection
road friction coefficient
tire model
nonlinear observer
self-aligning torque
lateral displacement
Lyapunov method
automatic parking system (APS)
end-to-end parking
reinforcement learning
parking slot tracking
deceleration planning
multi-layer perceptron
smart regenerative braking
electric vehicles
vehicle speed prediction
driver behavior modeling
electric vehicle control
driver characteristics online learning
objects’ edge detection
stixel histograms accumulate
point cloud segmentation
autonomous vehicles
scene understanding
occlusion reasoning
road detection
advanced driver assistance system
trajectory prediction
risk assessment
collision warning
connected vehicles
vehicular communications
vulnerable road users
fail-operational systems
fall-back strategy
automated driving
advanced driving assistance systems
illumination
shadow detection
shadow edge
image processing
traffic light detection
intelligent transportation system
lane-changing
merging maneuvers
game theory
decision-making
intelligent vehicles
model predictive controller
automatic train operation
softness factor
fusion velocity
online obtaining
hardware-in-the-loop simulation
driving assistant
driving diagnosis
accident risk maps
driving safety
intelligent driving
virtual test environment
millimeter wave radar
lane-change decision
risk perception
mixed traffic
minimum safe deceleration
automated driving system (ADS)
sensor fusion
multi-lane detection
particle filter
self-driving car
unscented Kalman filter
vehicle model
Monte Carlo localization
millimeter-wave radar
square-root cubature Kalman filter
Sage-Husa algorithm
target tracking
stationary and moving object classification
localization
LiDAR
GNSS
Global Positioning System (GPS)
monte carlo
autonomous driving
robot motion
path planning
piecewise linear approximation
multiple-target path planning
autonomous mobile robot
homotopy based path planning
LiDAR signal processing
sensor and information fusion
advanced driver assistance systems
autonomous racing
high-speed camera
real-time systems
LiDAR odometry
fail-aware
sensors
sensing
percepction
object detection and tracking
scene segmentation
vehicle positioning
fail-x systems
driver behavior modelling
automatic operation
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557112303321
Fernández-Llorca David  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Learning to Understand Remote Sensing Images . Volume 2
Learning to Understand Remote Sensing Images . Volume 2
Autore Wang Qi
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (363 pages)
Soggetto non controllato metadata
image classification
sensitivity analysis
ROI detection
residual learning
image alignment
adaptive convolutional kernels
Hough transform
class imbalance
land surface temperature
inundation mapping
multiscale representation
object-based
convolutional neural networks
scene classification
morphological profiles
hyperedge weight estimation
hyperparameter sparse representation
semantic segmentation
vehicle classification
flood
Landsat imagery
target detection
multi-sensor
building damage detection
optimized kernel minimum noise fraction (OKMNF)
sea-land segmentation
nonlinear classification
land use
SAR imagery
anti-noise transfer network
sub-pixel change detection
Radon transform
segmentation
remote sensing image retrieval
TensorFlow
convolutional neural network
particle swarm optimization
optical sensors
machine learning
mixed pixel
optical remotely sensed images
object-based image analysis
very high resolution images
single stream optimization
ship detection
ice concentration
online learning
manifold ranking
dictionary learning
urban surface water extraction
saliency detection
spatial attraction model (SAM)
quality assessment
Fuzzy-GA decision making system
land cover change
multi-view canonical correlation analysis ensemble
land cover
semantic labeling
sparse representation
dimensionality expansion
speckle filters
hyperspectral imagery
fully convolutional network
infrared image
Siamese neural network
Random Forests (RF)
feature matching
color matching
geostationary satellite remote sensing image
change feature analysis
road detection
deep learning
aerial images
image segmentation
aerial image
multi-sensor image matching
HJ-1A/B CCD
endmember extraction
high resolution
multi-scale clustering
heterogeneous domain adaptation
hard classification
regional land cover
hypergraph learning
automatic cluster number determination
dilated convolution
MSER
semi-supervised learning
gate
Synthetic Aperture Radar (SAR)
downscaling
conditional random fields
urban heat island
hyperspectral image
remote sensing image correction
skip connection
ISPRS
spatial distribution
geo-referencing
Support Vector Machine (SVM)
very high resolution (VHR) satellite image
classification
ensemble learning
synthetic aperture radar
conservation
convolutional neural network (CNN)
THEOS
visible light and infrared integrated camera
vehicle localization
structured sparsity
texture analysis
DSFATN
CNN
image registration
UAV
unsupervised classification
SVMs
SAR image
fuzzy neural network
dimensionality reduction
GeoEye-1
feature extraction
sub-pixel
energy distribution optimizing
saliency analysis
deep convolutional neural networks
sparse and low-rank graph
hyperspectral remote sensing
tensor low-rank approximation
optimal transport
SELF
spatiotemporal context learning
Modest AdaBoost
topic modelling
multi-seasonal
Segment-Tree Filtering
locality information
GF-4 PMS
image fusion
wavelet transform
hashing
machine learning techniques
satellite images
climate change
road segmentation
remote sensing
tensor sparse decomposition
Convolutional Neural Network (CNN)
multi-task learning
deep salient feature
speckle
canonical correlation weighted voting
fully convolutional network (FCN)
despeckling
multispectral imagery
ratio images
linear spectral unmixing
hyperspectral image classification
multispectral images
high resolution image
multi-objective
convolution neural network
transfer learning
1-dimensional (1-D)
threshold stability
Landsat
kernel method
phase congruency
subpixel mapping (SPM)
tensor
MODIS
GSHHG database
compressive sensing
ISBN 3-03897-699-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367755503321
Wang Qi  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Learning to Understand Remote Sensing Images . Volume 1
Learning to Understand Remote Sensing Images . Volume 1
Autore Wang Qi
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (414 pages)
Soggetto non controllato metadata
image classification
sensitivity analysis
ROI detection
residual learning
image alignment
adaptive convolutional kernels
Hough transform
class imbalance
land surface temperature
inundation mapping
multiscale representation
object-based
convolutional neural networks
scene classification
morphological profiles
hyperedge weight estimation
hyperparameter sparse representation
semantic segmentation
vehicle classification
flood
Landsat imagery
target detection
multi-sensor
building damage detection
optimized kernel minimum noise fraction (OKMNF)
sea-land segmentation
nonlinear classification
land use
SAR imagery
anti-noise transfer network
sub-pixel change detection
Radon transform
segmentation
remote sensing image retrieval
TensorFlow
convolutional neural network
particle swarm optimization
optical sensors
machine learning
mixed pixel
optical remotely sensed images
object-based image analysis
very high resolution images
single stream optimization
ship detection
ice concentration
online learning
manifold ranking
dictionary learning
urban surface water extraction
saliency detection
spatial attraction model (SAM)
quality assessment
Fuzzy-GA decision making system
land cover change
multi-view canonical correlation analysis ensemble
land cover
semantic labeling
sparse representation
dimensionality expansion
speckle filters
hyperspectral imagery
fully convolutional network
infrared image
Siamese neural network
Random Forests (RF)
feature matching
color matching
geostationary satellite remote sensing image
change feature analysis
road detection
deep learning
aerial images
image segmentation
aerial image
multi-sensor image matching
HJ-1A/B CCD
endmember extraction
high resolution
multi-scale clustering
heterogeneous domain adaptation
hard classification
regional land cover
hypergraph learning
automatic cluster number determination
dilated convolution
MSER
semi-supervised learning
gate
Synthetic Aperture Radar (SAR)
downscaling
conditional random fields
urban heat island
hyperspectral image
remote sensing image correction
skip connection
ISPRS
spatial distribution
geo-referencing
Support Vector Machine (SVM)
very high resolution (VHR) satellite image
classification
ensemble learning
synthetic aperture radar
conservation
convolutional neural network (CNN)
THEOS
visible light and infrared integrated camera
vehicle localization
structured sparsity
texture analysis
DSFATN
CNN
image registration
UAV
unsupervised classification
SVMs
SAR image
fuzzy neural network
dimensionality reduction
GeoEye-1
feature extraction
sub-pixel
energy distribution optimizing
saliency analysis
deep convolutional neural networks
sparse and low-rank graph
hyperspectral remote sensing
tensor low-rank approximation
optimal transport
SELF
spatiotemporal context learning
Modest AdaBoost
topic modelling
multi-seasonal
Segment-Tree Filtering
locality information
GF-4 PMS
image fusion
wavelet transform
hashing
machine learning techniques
satellite images
climate change
road segmentation
remote sensing
tensor sparse decomposition
Convolutional Neural Network (CNN)
multi-task learning
deep salient feature
speckle
canonical correlation weighted voting
fully convolutional network (FCN)
despeckling
multispectral imagery
ratio images
linear spectral unmixing
hyperspectral image classification
multispectral images
high resolution image
multi-objective
convolution neural network
transfer learning
1-dimensional (1-D)
threshold stability
Landsat
kernel method
phase congruency
subpixel mapping (SPM)
tensor
MODIS
GSHHG database
compressive sensing
ISBN 3-03897-685-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367755603321
Wang Qi  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui