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Advanced Process Monitoring for Industry 4.0
Advanced Process Monitoring for Industry 4.0
Autore Reis Marco S
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (288 p.)
Soggetto topico Technology: general issues
Soggetto non controllato artificial generation of variability
auto machine learning
classification
combustion
condition monitoring
construction industry
continuous casting
control chart pattern
convolutional neural network
curve resolution
data augmentation
data mining
data reconciliation
decision support systems
digital processing
discriminant analysis
disruption management
disruptions
expert systems
failure mode and effects analysis (FMEA)
failure mode effects analysis
fault detection
fault diagnosis
high-dimensional data
imbalanced data
Industry 4.0
latent variables models
load identification
membrane
monitoring
multi-mode model
multi-phase residual recursive model
multiscale
multivariate data analysis
n/a
neural networks
non-intrusive load monitoring
online
optical sensors
OPTICS
pasting process
PCA
plaster production
PLS
principal component analysis
process control
process image
process monitoring
quality control
quality prediction
real-time
risk priority number
rolling bearing
semiconductor manufacturing
signal detection
Six Sigma
spatial-temporal data
spectroscopy measurements
statistical process control
statistical process monitoring
time series classification
yield improvement
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557491503321
Reis Marco S  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Near Infrared Spectroscopy and Related Computational Methods
Advances in Near Infrared Spectroscopy and Related Computational Methods
Autore Bec Krzysztof B
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (496 p.)
Soggetto topico Chemistry
Soggetto non controllato accelerated aging
adulteration
affine invariance
agriculture
analytical spectroscopy
anharmonic calculation
anharmonic quantum mechanical calculations
animal origin
antimalarial tablets
API
aquaphotomics
artemether
auxiliary diagnosis
binary dragonfly algorithm
bioanalytical applications
biodiagnosis
biomeasurements
biomonitoring
blackberries
bone cancer
bootstrapping soft shrinkage
BRAF V600E mutation
brain
calibration transfer
carotenoids
cellular imaging
cheese
chemometric techniques
chemometrics
chemotherapy
Chrysanthemum
classification
clinical classifications
colorectal cancer
combination bands
combinations bands
corn seed
counter propagation artificial neural network
counterfeit and substandard pharmaceuticals
crude drugs
data fusion
deep convolutional neural network
deparaffinized
detection
DFT calculations
di-(2-picolyl)amine
direct model transferability
discriminant analysis
DNA
dry matter
ensemble learning
ethanol
Ewing sarcoma
extra virgin olive oil
fat
fluorescent probes
Folin-Ciocalteu
Fourier transform infrared spectroscopy
Fourier transform mid-infrared spectroscopy
Fourier-transform near-infrared spectroscopy
freeze-damaged
fructose
FT-IR
FT-NIR spectroscopy
FTIR
FTIR spectroscopy
geographical origin
glucose
handheld near-infrared spectroscopy
hier-SVM
hyperspectral image
hyperspectral image processing
hyperspectral imaging
hyperspectral imaging technology
image processing
imaging
imaging visualization
isotopic substitution
late preterm
light
living cells
lumefantrine
maize kernel
melamine
MicroNIR™
moisture
multivariate calibration
multivariate data analysis
n/a
near infrared
near infrared spectroscopy
near-infrared (NIR) spectroscopy
near-infrared fluorescence
near-infrared hyperspectral imaging
near-infrared spectroscopy
NIR
NIR spectroscopy
NIRS
non-destructive sensor
nutritional parameters
object-wise
origin traceability
osteopathy
overtones
paraffin-embedded
Paris polyphylla var. yunnanensis
partial least square regression
partial least squares
partial least squares (PLS)
partial least squares calibration
pasta/sauce blends
perfusion measurements
perturbation
phenolics
photonics
phytoextraction
pixel-wise
PLS
PLS-DA
PLS-R
PLSR
pocket-sized spectrometer
precision viticulture
prepared slices
principal component analysis
proximal sensing
quantitative analysis model
quantitative analysis modeling
quantum chemical calculation
raisins
Raman spectroscopy
rapid identification
rice seeds
RMSEP
Rubus fructicosus
SCiO
seeds vitality
SIMCA
spectral imaging
spectroscopy
splanchnic
stained
standard germination tests
support vector machine
support vector machine model
support vector machine-discriminant analysis
SVM
test set validation
tissue
total hydroxycinnamic derivatives
TreeBagger
Trichosanthis Fructus
ultra-high performance liquid chromatography
variety discrimination
VIS/NIR hyperspectral imaging
Vitis vinifera L.
water
water-mirror approach
wavelength selection
Zn(II)
ISBN 3-03928-053-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910372786503321
Bec Krzysztof B  
MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Legumes as Food Ingredient : Characterization, Processing, and Applications
Legumes as Food Ingredient : Characterization, Processing, and Applications
Autore Clemente Alfonso
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (190 p.)
Soggetto topico Humanities
Social interaction
Soggetto non controllato 7S-globulins
allergenicity
allergens
amino acid
aroma profile
beany
bioactive peptides
characterisation
defatted soybean flour
emulsifying capacity
faba beans
fatty acids
fermentation
fingerprinting
foam
food allergens
food labelling
functionality
galactooligosaccharides
gel electrophoresis
genetically modified
gluten-free
Gly m 7
GOS
green
gut microbiota
health benefits
jet mill
lactic acid bacteria
lactobacteria
legume
legumes
Lens
Lup an 1
lupin
microbiota
multivariate data analysis
nutritional profile
nutritional properties
pea
pea protein
plant protein
prebiotic
processed food
processing
protein
pulses
quantitative descriptive analysis
raffinose oligosaccharides
SDS-PAGE
sensory profile
sensory properties
short-chain fatty acids (SCFA)
solubility
soybean
super-fine powder
sweet lupin species
techno-functional properties
textural properties
texture profile analysis
tofu
vicilin
volatiles
wattle seed species
yeast
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Legumes as Food Ingredient
Record Nr. UNINA-9910557204903321
Clemente Alfonso  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Natural Products and Drug Discovery
Natural Products and Drug Discovery
Autore Avato Pinarosa
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (392 p.)
Soggetto topico Biology, life sciences
Soggetto non controllato 2?
4?-dihydroxy-6?-methoxy-3?
5?-dimethylchalcone (DMC)
ACE inhibitory peptide
acetylated astragalosides
aging
angiogenesis
anti-inflammatory activity
antihypertensive
antimicrobial agents
antimicrobial resistance
antinociceptive
antioxidant activity
artemisinin
Astragalus boeticus L.
Bacopa monnieri
bioactive peptides
bioactivities of natural products
biotechnology
C-glycoside
Ca2+
cancer
cardamonin
cardiovascular disease
celastrol
cerebellum
chemical derivatization
chemosystematics
chromatography
circular dichroism
Cleistocalyx operculatus
Cuba
cytokines
cytotoxic activity
cytotoxicity-guided
Dasycladus vermicularis
dementia
devil's claw
diabetes
diabetic neuropathy
dihydrochalcones
Dryopteris fragrans
Eruca sativa
ESI-MS/MS
Fabaceae
Fideloside
flavonoid
flavonoids
FSE
glucoerucin
glucosinolates
GLUT4
glutamate
growth inhibitory activity
H2S
Harpagophytum procumbens
harpagoside
HPLC
HPLC-ESI-microTOF-Q-MS/MS
human colon cancer cell lines
Humulus lupulus
hypertension
immuno-regulation activity
Imperata cylindrica
inflammation
isoflavones
isolation and quantification
ketamine
Kv7 potassium channels
L6 cell
Lamiales
LC-MS
Leea indica
Leishmania mexicana mexicana
malaria
marine peptides
marine resources
mass spectrometry
metabolomics
methicillin-resistant Staphylococcus aureus
migration
molecular network
multivariate data analysis
n/a
NADPH oxidases
natural products
neuropathic pain
NMR
opioid
Orobanchaceae
Orobanche s.l.
oxidative stress
PANC-1
phenolic derivatives
phenolics
phenylethanoid glycosides
phenylpropanoid glycosides
Phyllanthus chamacristoides
Phyllanthus orbicularis
Physcomitrella patens
pPancreatic cancer
prenylated phenolic compounds
proanthocyanidins
proliferation
psychosis
secondary metabolites
sesquiterpenoids
siphonous green algae
spagyric tincture
spectroscopic analysis
stereochemistry
sulfated coumarins
synergy
T2DM
terpenes
terpenoids
traditional medicine
Trifolium
TRPV1
Trypanosoma brucei brucei
zebrafish
ISBN 3-03928-747-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910404086803321
Avato Pinarosa  
MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The Future of Hyperspectral Imaging
The Future of Hyperspectral Imaging
Autore Selci Stefano
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 online resource (220 p.)
Soggetto topico Chemistry
Soggetto non controllato age determination
alternating direction method of multipliers
bi-directional reflectance distribution function (BRDF)
black polymers
blood detection
chemical imaging
Chemometrics
classification
coastal dynamics
compressive detection
compressive sensing
Cramer-Rao lower bound
CS-MUSI
deep learning
diabetic foot ulcer
digital elevation model
digital light processor (DLP)
digital micromirror device (DMD)
disease detection
fingerprints
fluorescence
fluorescence hyperspectral imaging
forward observation model
fusion
hemispherical conical reflectance factor (HCRF)
HSI for biology
hyperspectral
hyperspectral data mining and compression
hyperspectral imaging
Hyperspectral imaging
hyperspectral microscopy
image processing
imaging
information theoretic analysis
infrared hyperspectral imaging
integral imaging
interval partial least squares
linear mixture model
liquid crystal
lossless compression
machine learning
maximum likelihood
medical imaging by HSI
moving vehicle imaging
multiband image fusion
multiplexing system
multitemporal hyperspectral images
multivariate analysis
multivariate data analysis
neural networks
optimal binary filters
oxygen saturation
painting samples
plant phenotyping
PLSR
point target detection
potatoes
predictive coding
primordial leaf count
principal component analysis
PZT
quality control
Raman
Raman hyperspectral imaging
Raman spectroscopy
remote sensing
retouching pigments
sorting
spatial light modulators (SLM)
spectral tracking
spectroscopy
sprouting
statistical methods for HSI
stereo imaging
three-dimensional imaging
time series
total variation
video
Virginia Coast Reserve Long Term Ecological Research (VCR LTER)
watercolours
wavelength selection
wound healing
ISBN 3-03921-823-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367743103321
Selci Stefano  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Time Series Modelling
Time Series Modelling
Autore Weiss Christian H
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (372 p.)
Soggetto topico Humanities
Soggetto non controllato anomaly detection
bank failures
Bell distribution
bivariate Poisson INGARCH model
cointegration
count data
count time series
counting series
CUSUM control chart
dispersion test
electric power
entropy based particle filter
estimation
ETS
extended binomial distribution
finance
forecasting accuracy
Holt-Winters
INAR
INAR-type time series
INGACRCH
integer-valued moving average model
integer-valued threshold models
integer-valued time series
Julia programming language
kernel density estimation
limit theorems
local field potential
long-range dependence
machine learning
minimum density power divergence estimator
missing data
models
multivariate count data
multivariate data analysis
multivariate time series
neural network autoregression
nonstationary
ordinal patterns
outliers
overdispersion
parameter estimation
periodic autoregression
random survival rate
relative entropy
robust estimation
Romania
SARIMA
seasonality
SETAR
spectral matrix
state-space model
statistical process monitoring
Student's t-process
subspace algorithms
thinning operator
time series
time series analysis
time series of counts
transactions
unemployment rate
unsupervised learning
VARMA models
volatility fluctuation
zero-inflation
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557541003321
Weiss Christian H  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui