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"3D" Parametric and Nonparametric Description of Surface Topography in Manufacturing Processes
"3D" Parametric and Nonparametric Description of Surface Topography in Manufacturing Processes
Autore Królczyk Grzegorz
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (337 p.)
Soggetto topico Technology: general issues
Soggetto non controllato 3D surface roughness parameters
abrasive water jet machining
abrasive wear
anisotropy
austenitization
autocorrelation function
automated fiber placement
bimodal distribution
circulated coins
contact mechanics
contact profilometry
correlation length
craters
cryogenic
cutting kerf
EDM
electroplated grinding wheel
equivalent sum rough surface
fiber-reinforced polymers
grinding wheel surface texture
grinding wheel wear
hardness
heat-welded V-belt
high-efficiency video coding (HEVC)
IR thermography
machining
magnetic abrasive finishing
material ratio
material removal
material removal rate
measurements and analysis
mechanical engineering
micro turning
microgeometry
microhardness
microstructure
multiscale
multiscale analysis
n/a
nano-finishing
optical methods
optical microscopy
optimization
parameters
parametric appraisal
path planning
profile
quality
radius of the cutting head trajectory
ridging
roping
roughness
roughness analysis
RSM
SEM morphology
sintered aluminum
soda-lime glass
support vector machine (SVM)
surface condition
surface defects
surface roughness
surface texture
surface topography
tempering
texture feature descriptors
texture image classification
thermal chamber
thermal disturbance
thermal expansion
thermoplastic polyurethane
Ti6Al4V alloy
tool wear
topography
two-process surface
β-phase TNTZ alloy
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557334003321
Królczyk Grzegorz  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent Processing on Image and Optical Information
Intelligent Processing on Image and Optical Information
Autore Yeom Seokwon
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (324 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato ADAM
adaptive mean-shift
autofocus
background-oriented schlieren
biomedical imaging
block compressed sensing
bone fracture
boundary point
calcaneus
change detection
classifier
cluster validity index
clustering algorithm
clustering evaluation
continuous casting slabs
convolutional neural network
CT image
database augmentation
deep learning
deep neural network
defect detection
digital image correlation
discrete non-separable shearlet transform
dominant spectral wavelength
Dongting Lake
ego-motion estimation
error resilience
extraction
face registration
facial image
feature extraction
feature selection
fermentation monitoring
Gabor filter
GAN (Generative adversarial networks)
generation
generative models
gray-level co-occurrence matrix
hand-eye calibration
healthy and infected lemons
heat waves
Hermite
high-temperature measurement
hybrid ant lion optimizer
Hyperspectral image
image completion
image fusion
image interpolation
image processing
image up-scaling
IMU
inner-distance
interior point
kernel spectral regression
lemon skin
lidar odometry
machine learning
microscopy image analysis
microscopy image processing
multi-sensor
n/a
night vision goggles
NSCT
numerical optimization
optical sensor
parameter optimization
Penicillium digitatum pathogen
process automation
quality inspection
radiographic image
reconstruction
segmentation
sensor fusion
sparse and low-rank matrix decomposition
spectral intensity ratio
stochastic gradient methods
structure similarity
Student's-t Mixtures Model
superellipsoid model fitting
surface defect classification
synthesis
tensor decomposition models
texture classification
thermal disturbance
variogram function
wildlife monitoring image
wireless multimedia sensor networks
zebrafish egg
zebrafish larva
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557104903321
Yeom Seokwon  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui