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Actuators for Intelligent Electric Vehicles
Actuators for Intelligent Electric Vehicles
Autore Hang Peng
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (330 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Mechanical engineering & materials
Soggetto non controllato curb detection
intelligent vehicles
autonomous driving
electro-hydraulic brake system
master cylinder pressure estimation
vehicle longitudinal dynamics
brake linings’ coefficient of friction
ACC
safety evaluation
human-like evaluation
naturalistic driving study
driving behavior characteristic
electric vehicles
independent drive
direct yaw control
torque distribution
ultra-wideband
relative localization
enhanced precision
clock self-correction
homotopy
Levenberg–Marquardt
electric power steering
steering actuator
driverless racing vehicles
control
autonomous vehicles
lane-changing
decision-making
path planning
four-wheel independent drive
four-wheel independent steering
path tracking
handling stability
active safety control
electric vehicle
intelligent sanitation vehicle
trash can-handling robot
truss structure
multi-objective parameter optimization
topology optimization
discrete optimization
multiple load cases
intelligent electric vehicles
driver behavior recognition
multi-semantic description
confidence fusion
drift parking
open-loop control
supervision mechanism
two-speed AMT
in-wheel-drive
shifting process
selectable one-way clutch
five-degree-of-freedom vehicle model
pressure–position model
recursive least square
advanced driver assistant systems
adaptive cruise control
direct yaw moment control
extension control
model predictive control
optimization design
vehicle structure design
uncertainty
deceleration device
tyre-road peak friction coefficient estimation
tyre model
normalization
incentive sensitivity
four-wheel steering
semantic segmentation
high-resolution atlas training
super-resolution
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566471903321
Hang Peng  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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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 electronic resource (438 p.)
Soggetto topico Research & information: general
Soggetto non controllato synthetic aperture radar
despeckling
multi-scale
LSTM
sub-pixel
high-resolution remote sensing imagery
road extraction
machine learning
DenseUNet
scene classification
lifting scheme
convolution
CNN
image classification
deep features
hand-crafted features
Sinkhorn loss
remote sensing
text image matching
triplet networks
EfficientNets
LSTM network
convolutional neural network
water identification
water index
semantic segmentation
high-resolution remote sensing image
pixel-wise classification
result correction
conditional random field (CRF)
satellite
object detection
neural networks
single-shot
deep learning
global convolution network
feature fusion
depthwise atrous convolution
high-resolution representations
ISPRS vaihingen
Landsat-8
faster region-based convolutional neural network (FRCNN)
single-shot multibox detector (SSD)
super-resolution
remote sensing imagery
edge enhancement
satellites
open-set domain adaptation
adversarial learning
min-max entropy
pareto ranking
SAR
Sentinel–1
Open Street Map
U–Net
desert
road
infrastructure
mapping
monitoring
deep convolutional networks
outline extraction
misalignments
nearest feature selector
hyperspectral image classification
two stream residual network
Batch Normalization
plant disease detection
precision agriculture
UAV multispectral images
orthophotos registration
3D information
orthophotos segmentation
wildfire detection
convolutional neural networks
densenet
generative adversarial networks
CycleGAN
data augmentation
pavement markings
visibility
framework
urban forests
OUDN algorithm
object-based
high spatial resolution remote sensing
Generative Adversarial Networks
post-disaster
building damage assessment
anomaly detection
Unmanned Aerial Vehicles (UAV)
xBD
feature engineering
orthophoto
unsupervised segmentation
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
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Artificial Neural Networks and Evolutionary Computation in Remote Sensing
Artificial Neural Networks and Evolutionary Computation in Remote Sensing
Autore Kavzoglu Taskin
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (256 p.)
Soggetto topico Research & information: general
Soggetto non controllato convolutional neural network
image segmentation
multi-scale feature fusion
semantic features
Gaofen 6
aerial images
land-use
Tai’an
convolutional neural networks (CNNs)
feature fusion
ship detection
optical remote sensing images
end-to-end detection
transfer learning
remote sensing
single shot multi-box detector (SSD)
You Look Only Once-v3 (YOLO-v3)
Faster RCNN
statistical features
Gaofen-2 imagery
winter wheat
post-processing
spatial distribution
Feicheng
China
light detection and ranging
LiDAR
deep learning
convolutional neural networks
CNNs
mask regional-convolutional neural networks
mask R-CNN
digital terrain analysis
resource extraction
hyperspectral image classification
few-shot learning
quadruplet loss
dense network
dilated convolutional network
artificial neural networks
classification
superstructure optimization
mixed-inter nonlinear programming
hyperspectral images
super-resolution
SRGAN
model generalization
image downscaling
mixed forest
multi-label segmentation
semantic segmentation
unmanned aerial vehicles
classification ensemble
machine learning
Sentinel-2
geographic information system (GIS)
earth observation
on-board
microsat
mission
nanosat
AI on the edge
CNN
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557148403321
Kavzoglu Taskin  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Augmented Reality, Virtual Reality & Semantic 3D Reconstruction
Augmented Reality, Virtual Reality & Semantic 3D Reconstruction
Autore Lv Zhihan
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (304 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato feature tracking
superpixel
structure from motion
three-dimensional reconstruction
local feature
multi-view stereo
construction hazard
safety education
photoreality
virtual reality
anatomization
audio classification
olfactory display
deep learning
transfer learning
inception model
augmented reality
higher education
scientific production
web of science
bibliometric analysis
scientific mapping
applications in subject areas
interactive learning environments
3P model
primary education
educational technology
mobile lip reading system
lightweight neural network
face correction
virtual reality (VR)
computer vision
projection mapping
3D face model
super-resolution
radial curve
Dynamic Time Warping
semantic 3D reconstruction
eye-in-hand vision system
robotic manipulator
probabilistic fusion
graph-based refinement
3D modelling
3D representation
game engine
laser scanning
panoramic photography
super-resolution reconstruction
generative adversarial networks
dense convolutional networks
texture loss
WGAN-GP
orientation
positioning
viewpoint
image matching
algorithm
transformation
ADHD
EDAH
assessment
continuous performance test
Photometric Stereo (PS)
3D reconstruction
fully convolutional network (FCN)
semi-immersive virtual reality
children
cooperative games
empowerment
perception
motor planning
problem-solving
area of interest
wayfinding
spatial information
one-shot learning
gesture recognition
GREN
skeleton-based
3D composition
pre-visualization
stereo vision
360° video
ISBN 3-0365-6062-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910639985103321
Lv Zhihan  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Digital heritage reconstruction using super-resolution and inpainting / / Milind G. Padalkar, Manjunath V. Joshi, Nilay L. Khatri
Digital heritage reconstruction using super-resolution and inpainting / / Milind G. Padalkar, Manjunath V. Joshi, Nilay L. Khatri
Autore Padalkar Milind G.
Pubbl/distr/stampa [San Rafael, California] : , : Morgan & Claypool, , 2017
Descrizione fisica 1 online resource (170 pages) : illustrations
Disciplina 621.367
Collana Synthesis lectures on visual computing
Soggetto topico Image reconstruction
Image processing - Digital techniques
Historic sites - Conservation and restoration
Statues - Conservation and restoration
Inpainting
Soggetto non controllato super-resolution
inpainting
cultural heritage
crack detection
digital reconstruction
ISBN 1-62705-616-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Introduction -- 1.1 What is super-resolution? -- 1.2 What is inpainting? -- 1.3 Applying super-resolution and inpainting in digital heritage images: challenges and solutions -- 1.4 A tour of the book --
2. Image super-resolution: self-learning, sparsity and Gabor prior -- 2.1 Single-image SR: a unified framework -- 2.1.1 Classical (within-scale) super-resolution -- 2.1.2 Exampled-based (across-scale) super-resolution -- 2.1.3 Unifying classical and example-based SR -- 2.2 Self-learning and degradation estimation -- 2.3 Gabor prior and regularization -- 2.4 Performance evaluation -- 2.4.1 Qualitative evaluation -- 2.4.2 Quantitative evaluation -- 2.5 Conclusion --
3. Self-learning: faster, smarter, simpler -- 3.1 Efficient self-learning -- 3.1.1 Improved self-learning for super-resolution -- 3.2 Performance evaluation -- 3.2.1 Perceptual and quantitative evaluation -- 3.2.2 Improvements and extensions -- 3.3 Conclusion --
4. An exemplar-based inpainting using an autoregressive model -- 4.1 Limitation of existing approaches -- 4.2 Proposed approach -- 4.3 Experimental results -- 4.4 Conclusion --
5. Attempts to improve inpainting -- 5.1 A modified exemplar-based multi-resolution approach -- 5.1.1 Refinement by matching a larger region -- 5.1.2 Refinement using the patch-neighborhood relationship -- 5.1.3 Refinement using compressive sensing framework -- 5.2 Curvature-based approach for inpainting -- 5.3 Observations and conclusion --
6. Simultaneous inpainting and super-resolution -- 6.1 Need for patch comparison at finer resolution -- 6.2 Proposed approach -- 6.2.1 Constructing image-representative LR-HR dictionaries -- 6.2.2 Estimation of HR patches -- 6.2.3 Simultaneous inpainting and SR of missing pixels -- 6.3 Experimental results -- 6.4 Conclusion --
7. Detecting and inpainting damaged regions in facial images of statues -- 7.1 Preprocessing -- 7.2 Extraction of eye, nose and lip regions -- 7.3 Classification -- 7.4 Inpainting -- 7.5 Experimental results -- 7.6 Conclusion --
8. Auto-inpainting cracks in heritage scenes -- 8.1 A simple method for detecting and inpainting cracks -- 8.1.1 Order-statistics-based filtering -- 8.1.2 Scan-line peak difference detection -- 8.1.3 Density-based filtering -- 8.1.4 Refinement -- 8.1.5 Experimental results -- 8.2 Singular value decomposition-based crack detection and inpainting -- 8.2.1 SVD and patch analysis -- 8.2.2 Thresholding -- 8.2.3 Experimental results -- 8.3 Crack detection using tolerant edit distance and inpainting -- 8.3.1 Preprocessing -- 8.3.2 Patch comparison using tolerant edit distance -- 8.3.3 Edge strength calculation -- 8.3.4 Thresholding -- 8.3.5 Refinement -- 8.3.6 Experimental results -- 8.4 Extension to auto-inpaint cracks in videos -- 8.4.1 Homography estimation -- 8.4.2 Reference frame detection -- 8.4.3 Tracking and inpainting cracked regions across frames -- 8.4.4 Experimental results -- 8.5 Conclusion --
9. Challenges and future directions -- Bibliography -- Authors' biographies.
Record Nr. UNINA-9910155693403321
Padalkar Milind G.  
[San Rafael, California] : , : Morgan & Claypool, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
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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
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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
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Image Simulation in Remote Sensing
Image Simulation in Remote Sensing
Autore Eo Yang Dam
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 image fusion
random forest regression
SAR image
panchromatic image
high-resolution
multi-beam LiDAR
in situ self-calibration
mobile mapping system
3D point cloud
backpack-based mapping
aerial orthoimage
Sentinel-2
super-resolution
image simulation
residual U-Net
interferometry
remote sensing
computational simulation
denoising
detection
SAR imagery
fusing region proposals
KOMPSAT-3A
strip
sensor modeling
RPCs
mosaic
matching
discrepancy
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566468703321
Eo Yang Dam  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Imaging Sensors and Applications
Imaging Sensors and Applications
Autore Lee Changho
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (350 p.)
Soggetto topico Technology: general issues
Soggetto non controllato fluorescence LiDAR
laser-induced fluorescence
vegetation monitoring
classification discrimination
3D measurement
fringe projection
3D Fourier transform
phase unwrapping
phase measurement
ultrasound
photoacoustic imaging
photoacoustic microscopy
biomedical imaging
multifocal point transducer
wave patterns
analytical model
directivity pattern
guided wave (GW)
non-destructive testing (NDT)
macro-fiber composite (MFC)
transducer
elastography
soft tissue
nonlinearity
viscoelasticity
acoustic emission
hydrogel
nanosilica
transcranial
skull bone
aberration
photoacoustic
distortion
brain imaging
balloon catheter
image guiding
medical diagnostic imaging
ultrasonic imaging
abdominal ultrasound
plane wave imaging
diverging wave imaging
synthetic focusing
back muscle stiffness
spine
elasticity
shear-wave elastography (SWE)
tissue ultrasound palpation system (TUPS)
reliability
Young's modulus
carfilzomib
peripheral vasculature
quantitative analysis
transrectal probe
optical lens
ultrasound imaging
prostate cancer
optical coherence tomography
quad-scanner scanning strategy
whole-directional scanning
full-directional imaging
IoT
remote control
remote operation
remote sharing economy
research equipment sharing
two-photon laser scanning microscopy
MQTT
deep learning
ensemble learning
brain tumor classification
machine learning
transfer learning
around view monitoring system
automatic camera calibration
vision-based advanced driver assistance systems
high-frequency ultrasound
ophthalmic imaging
synthetic aperture
convex array transducer
bandwidth expander
ultrasound transducer device
power amplifier
super-resolution
clinical applications
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557751503321
Lee Changho  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Imaging Synapse Structure and Function
Imaging Synapse Structure and Function
Autore George J. Augustine
Pubbl/distr/stampa Frontiers Media SA, 2017
Descrizione fisica 1 electronic resource (125 p.)
Collana Frontiers Research Topics
Soggetto non controllato connectomics
super-resolution
optogenetics
Schizophrenia
metabotropic glutamate receptors
brain circuits
functional imaging
Electron microscopy
calcium imaging
Synaptic Transmission
synaptic vesicle trafficking
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910220035803321
George J. Augustine  
Frontiers Media SA, 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
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