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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 electronic resource (288 p.)
Soggetto topico Technology: general issues
Soggetto non controllato spatial-temporal data
pasting process
process image
convolutional neural network
Industry 4.0
auto machine learning
failure mode effects analysis
risk priority number
rolling bearing
condition monitoring
classification
OPTICS
statistical process control
control chart pattern
disruptions
disruption management
fault diagnosis
construction industry
plaster production
neural networks
decision support systems
expert systems
failure mode and effects analysis (FMEA)
discriminant analysis
non-intrusive load monitoring
load identification
membrane
data reconciliation
real-time
online
monitoring
Six Sigma
multivariate data analysis
latent variables models
PCA
PLS
high-dimensional data
statistical process monitoring
artificial generation of variability
data augmentation
quality prediction
continuous casting
multiscale
time series classification
imbalanced data
combustion
optical sensors
spectroscopy measurements
signal detection
digital processing
principal component analysis
curve resolution
data mining
semiconductor manufacturing
quality control
yield improvement
fault detection
process control
multi-phase residual recursive model
multi-mode model
process monitoring
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
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Advances in Food Analysis
Advances in Food Analysis
Autore Gentili Alessandra
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (488 p.)
Soggetto non controllato high resolution mass spectrometry
multiple reaction monitoring (MRM)
PAT detection
?13C-IRMS
thiamphenicol
phospholipids
HRMS
chemometrics
Box–Behnken design
ultra-fast liquid chromatography (UFLC)–TripleTOF MS
review
chiral stationary phases
blends
validation
microwave-assisted hydrodistillation
carbohydrates
antioxidant
chiral
quality control
fruit juice
modified electrode
extraction techniques
food composition
nitrite detection
HPLC fingerprint
milk
hops extracts
real-time quantitative PCR
apple juice
Q-Orbitrap
myrtle
phylogeny
fermentation
aptamers
antibiotics
flavor profile
carotenoids
polyelectrolyte composite film
hydrodistillation
food quality
amino acids
bottle aging
flavokavains
qualitative and quantitative PCR
high-throughput sequencing technology
mass fragmentation
fruit jams
ASE
walnut varieties
anti-inflammatory
Pol gene
systematic evolution of ligands by exponential enrichment
enantiomers
agro-biodiversity
florfenicol
cuprous oxide nanoparticles
geographical origin
HPLC
sunset yellow
poultry eggs
adulteration
dimerization
Lactarius deliciosus
Scenedesmus
HPLC–QTOF–MS/MS
ultrasound-assisted extraction
food
UPLC-FLD
hard clams
NMR
confirmatory method
cyclic voltammetry
1H-NMR
molecular identification
bioactive compounds
immature honey
chemical composition
differential pulse voltammetry
kavalactones
Polygonatum cyrtonema
oligosaccharides
Chia seed oil
kiwifruit (Actinidia chinensis)
biogenic amines
supercritical fluid extraction
rosé wines
spectrum-effect relationship
DNA barcode
saccharides
bifunctional polymer arms
single-laboratory validation
lipid-lowering effect
microalgae
essential oil
polarity
food process control
food authentication
Meretrix lyrata
anthocyanins
molecular species of phospholipid
microwave-assisted extraction
principal component analysis (PCA)
fat-soluble vitamins
Croatian wines
mass spectra
1H NMR
carbamates
Marynka strain
IMS
Myrtus communis L.
clenbuterol
mycotoxin
closures
Piper methysticum (kava)
liquid chromatography mass spectrometry
florfenicol amine
polyunsaturated fatty acid
white wines
second-derivative linear sweep voltammetry
gold nanoparticles biosensor
chemometric analysis
multi-physicochemical parameters
antihyperglycemic
antioxidants
phenolic compounds
enhanced product ion (EPI)
steaming
fatty acids composition
reduced graphene oxide
Tricholoma matsutake
PLS
phenolic acids
Sojae semen praeparatum (SSP)
muscle
Myrtus communis
pesticide residues
quercetin
collagen peptide
conversion
DNA extraction
fatty acids
isomerization
lipid classes
natural mature honey
milk powder
fructose
molecular weight
UHPLC-UV
food adulteration
metabolites
food safety
acidity
food security
impedimetric aptasensor
?-blockers
screen-printed interface
ISBN 3-03921-743-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367746703321
Gentili Alessandra  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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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 electronic resource (496 p.)
Soggetto non controllato pocket-sized spectrometer
standard germination tests
total hydroxycinnamic derivatives
hyperspectral image
quantitative analysis modeling
tissue
chemotherapy
FTIR spectroscopy
cheese
biomeasurements
chemometrics
affine invariance
rapid identification
biodiagnosis
bioanalytical applications
fat
NIRS
pixel-wise
paraffin-embedded
late preterm
maize kernel
photonics
hyperspectral image processing
image processing
colorectal cancer
test set validation
deep convolutional neural network
near-infrared fluorescence
classification
variety discrimination
near-infrared hyperspectral imaging
ensemble learning
light
origin traceability
Paris polyphylla var. yunnanensis
Fourier transform mid-infrared spectroscopy
dry matter
Fourier transform infrared spectroscopy
hyperspectral imaging
FT-NIR spectroscopy
proximal sensing
perfusion measurements
near-infrared spectroscopy
stained
carotenoids
cellular imaging
perturbation
direct model transferability
clinical classifications
counterfeit and substandard pharmaceuticals
hyperspectral imaging technology
spectral imaging
SVM
nutritional parameters
extra virgin olive oil
ethanol
osteopathy
living cells
object-wise
water-mirror approach
Chrysanthemum
bootstrapping soft shrinkage
FTIR
PLS-R
multivariate data analysis
combination bands
binary dragonfly algorithm
geographical origin
Vitis vinifera L.
glucose
detection
di-(2-picolyl)amine
non-destructive sensor
splanchnic
adulteration
animal origin
melamine
artemether
MicroNIR™
brain
fluorescent probes
Folin-Ciocalteu
SCiO
support vector machine
anharmonic quantum mechanical calculations
PLSR
Zn(II)
RMSEP
overtones
blackberries
pasta/sauce blends
FT-IR
partial least squares calibration
partial least squares (PLS)
auxiliary diagnosis
handheld near-infrared spectroscopy
precision viticulture
partial least squares
seeds vitality
freeze-damaged
near infrared
discriminant analysis
corn seed
quantum chemical calculation
anharmonic calculation
Trichosanthis Fructus
moisture
analytical spectroscopy
Raman spectroscopy
NIR spectroscopy
calibration transfer
imaging
water
lumefantrine
BRAF V600E mutation
wavelength selection
bone cancer
imaging visualization
near infrared spectroscopy
raisins
chemometric techniques
data fusion
prepared slices
Ewing sarcoma
biomonitoring
Rubus fructicosus
VIS/NIR hyperspectral imaging
combinations bands
quantitative analysis model
partial least square regression
DFT calculations
TreeBagger
antimalarial tablets
accelerated aging
agriculture
crude drugs
spectroscopy
rice seeds
PLS
isotopic substitution
multivariate calibration
phytoextraction
Fourier-transform near-infrared spectroscopy
phenolics
deparaffinized
near-infrared (NIR) spectroscopy
SIMCA
counter propagation artificial neural network
fructose
PLS-DA
ultra-high performance liquid chromatography
aquaphotomics
support vector machine-discriminant analysis
hier-SVM
DNA
NIR
support vector machine model
API
principal component analysis
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
Biomarkers and Clinical Indicators in Motor Neuron Disease
Biomarkers and Clinical Indicators in Motor Neuron Disease
Autore Pradat Pierre-Francois
Pubbl/distr/stampa Frontiers Media SA, 2020
Descrizione fisica 1 electronic resource (393 p.)
Soggetto topico Medicine
Neurology & clinical neurophysiology
Soggetto non controllato ALS
MND
PLS
SMA
SBMA
PPS
PMA
biomarker
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557515303321
Pradat Pierre-Francois  
Frontiers Media SA, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Hyperspectral Remote Sensing of Agriculture and Vegetation
Hyperspectral Remote Sensing of Agriculture and Vegetation
Autore Pascucci Simone
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (266 p.)
Soggetto topico Research & information: general
Environmental economics
Soggetto non controllato hyperspectral LiDAR
Red Edge
AOTF
vegetation parameters
leaf chlorophyll content
DLARI
MDATT
adaxial
abaxial
spectral reflectance
peanut
field spectroscopy
hyperspectral
heavy metals
grapevine
PLS
SVM
MLR
multi-angle observation
hyperspectral remote sensing
BRDF
vegetation classification
object-oriented segmentation
spectroscopy
artificial intelligence
proximal sensing data
precision agriculture
spectra
vegetation
plant
classification
discrimination
feature selection
waveband selection
support vector machine
random forest
Natura 2000
invasive species
expansive species
biodiversity
proximal sensor
macronutrient
micronutrient
remote sensing
hyperspectral imaging
platforms and sensors
analytical methods
crop properties
soil characteristics
classification of agricultural features
canopy spectra
chlorophyll content
continuous wavelet transform (CWT)
correlation coefficient
partial least square regression (PLSR)
reproducibility
replicability
partial least squares
Ethiopia
Eragrostis tef
hyperspectral remote sensing for soil and crops in agriculture
hyperspectral imaging for vegetation
plant traits
high-resolution spectroscopy for agricultural soils and vegetation
hyperspectral databases for agricultural soils and vegetation
hyperspectral data as input for modelling soil, crop, and vegetation
product validation
new hyperspectral technologies
future hyperspectral missions
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557691803321
Pascucci Simone  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Metabolomics Data Processing and Data Analysis—Current Best Practices
Metabolomics Data Processing and Data Analysis—Current Best Practices
Autore Hanhineva Kati
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (276 p.)
Soggetto topico Research & information: general
Soggetto non controllato metabolic networks
mass spectral libraries
metabolite annotation
metabolomics data mapping
nontarget analysis
liquid chromatography mass spectrometry
compound identification
tandem mass spectral library
forensics
wastewater
gut microbiome
meta-omics
metagenomics
metabolomics
metabolic reconstructions
genome-scale metabolic modeling
constraint-based modeling
flux balance
host–microbiome
metabolism
global metabolomics
LC-MS
spectra processing
pathway analysis
enrichment analysis
mass spectrometry
liquid chromatography
MS spectral prediction
metabolite identification
structure-based chemical classification
rule-based fragmentation
combinatorial fragmentation
time series
PLS
NPLS
variable selection
bootstrapped-VIP
data repository
computational metabolomics
reanalysis
lipidomics
data processing
triplot
multivariate risk modeling
environmental factors
disease risk
chemical classification
in silico workflows
metabolome mining
molecular families
networking
substructures
mass spectrometry imaging
metabolomics imaging
biostatistics
ion selection algorithms
liquid chromatography high-resolution mass spectrometry
data-independent acquisition
all ion fragmentation
targeted analysis
untargeted analysis
R programming
full-scan MS/MS processing
R-MetaboList 2
liquid chromatography–mass spectrometry (LC/MS)
fragmentation (MS/MS)
data-dependent acquisition (DDA)
simulator
in silico
untargeted metabolomics
liquid chromatography–mass spectrometry (LC-MS)
experimental design
sample preparation
univariate and multivariate statistics
metabolic pathway and network analysis
LC–MS
metabolic profiling
computational statistical
unsupervised learning
supervised learning
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557354403321
Hanhineva Kati  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Progress in Analytical Methods for the Characterization, Quality and Safety of the Beehive Products
Progress in Analytical Methods for the Characterization, Quality and Safety of the Beehive Products
Autore Sanna Gavino
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (240 p.)
Soggetto topico Research & information: general
Chemistry
Analytical chemistry
Soggetto non controllato propolis
poplar
HPLC–Q-Exactive-Orbitrap®–MS analysis
phenolic glycerides
essential and non-essential nutrients
nucleosides
honey composition
uridine
neuropharmacological activities
filtered honey
botanical origin
fluorescence spectrometry
antioxidant activity
spectrum–effect relationships
cluster analysis
principal component analysis
multiple linear regression analysis
sample preparation
trace element
toxic element
spectroanalytical technique
biomonitoring
bee pollen
ascorbic acid
total ascorbic acids
dehydroascorbic acid
HILIC
honey discrimination
strawberry-tree
thistle
eucalyptus
asphodel
attenuated total reflectance
Fourier transform infrared spectroscopy
bee products
multielemental analysis
ICP-MS
ICP-OES
inorganic contaminants
heavy metals
honey
quality standards
protein
amylase
acid phosphatase
native PAGE
royal jelly
proteins
ProteoMinerTM
MALDI-TOF-MS
proteomics
beehive product
unedone
bitter taste
strawberry tree honey
LC-ESI/LTQ-Orbitrap-MS
PCA
PLS
aroma composition
sugar content
QDA profile
HMF
furanic aldehydes
furanic acids
homogentisic acid
cyclic voltammetry
square wave voltammetry
RP-HPLC
bees
beehive products
cold vapor atomic fluorescence spectrometry
toxic metal
trace elements
toxic elements
geographical origin
strawberry tree
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910576885803321
Sanna Gavino  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Rapid Methods for Assessing Food Safety and Quality
Rapid Methods for Assessing Food Safety and Quality
Autore Schirone Maria
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (118 p.)
Soggetto topico Research & information: general
Biology, life sciences
Food & society
Soggetto non controllato honey
water activity
moisture content
regression
categorical testing
QuEChERS
dispersive liquid–liquid microextraction
sulfuric acid treatment
gas chromatography
tandem mass spectrometry
priority substances
fish samples
Trichinella spp
slaughterhouse
accreditation
proficiency testing
PAH content
Hercegovačka pečenica
traditional smoking
industrial smoking
Listeria monocytogenes
outbreak
molecular methods
real-time PCR
screening
Anisakis spp
LAMP
validation
anisakidae family
NIR
PLS
PCA
correlogram
sensory analysis
gold nanoparticles
histamine
UV-visible and fluorescence
visual detection
spoilage marker
safety
assay
pollutants
polyciclic aromatic hydrocarbons
Trichinella
Anisakis
nanoparticles
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557688003321
Schirone Maria  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Sensors in Agriculture . Volume 1
Sensors in Agriculture . Volume 1
Autore Moshou Dimitrios
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (346 p.)
Soggetto non controllato optical sensor
spectral analysis
response surface sampling
sensor evaluation
electromagnetic induction
multivariate water quality parameters
mandarin orange
crop inspection platform
SPA-MLR
object tracking
feature selection
simultaneous measurement
diseases
genetic algorithms
processing of sensed data
electrochemical sensors
thermal image
ECa-directed soil sampling
handheld
recognition patterns
salt concentration
clover-grass
bovine embedded hardware
weed control
soil
field crops
vineyard
connected dominating set
water depth sensors
SS-OCT
wheat
striped stem-borer
silage
geostatistics
detection
NIR hyperspectral imaging
electronic nose
machine learning
virtual organizations of agents
packing density
data validation and calibration
dataset
Wi-SUN
temperature sensors
geoinformatics
gas sensor
X-ray fluorescence spectroscopy
vegetable oil
photograph-grid method
Vitis vinifera
WSN distribution algorithms
laser-induced breakdown spectroscopy
irrigation
quality assessment
energy efficiency
wireless sensor network (WSN)
geo-information
Fusarium
texture features
weeds
discrimination
big data
soil moisture sensors
meat spoilage
land cover
stereo imaging
near infrared sensors
biological sensing
compound sensor
pest management
moisture
plant localization
heavy metal contamination
artificial neural networks
spectral pre-processing
moisture content
apparent soil electrical conductivity
data fusion
semi-arid regions
smart irrigation
back propagation model
wireless sensor network
energy balance
light-beam
fluorescent measurement
agriculture
precision agriculture
deep learning
spectroscopy
hulled barely
dielectric probe
RPAS
water supply network
rice leaves
mobile app
gradient boosted machines
hyperspectral camera
one-class
nitrogen
LiDAR
total carbon
chemometrics analysis
rice
agricultural land
on-line vis-NIR measurement
CARS
obstacle detection
stratification
neural networks
regression estimator
Kinect
proximity sensing
distributed systems
pest
noninvasive detection
texture feature
soil mapping
classification
soil salinity
visible and near-infrared reflectance spectroscopy
germination
computer vision
hyperspectral imaging
diffusion
dielectric dispersion
UAS
random forests
case studies
total nitrogen
thermal imaging
cameras
dry matter composition
near-infrared
salt tolerance
deep convolutional neural networks
soil type classification
water management
preprocessing methods
wireless sensor networks (WSN)
remote sensing image classification
precision plant protection
radar
spatial variability
GF-1 satellite
plant disease
naked barley
leaf area index
CIE-Lab
change of support
radiative transfer model
3D reconstruction
plant phenotyping
vine
near infrared
vegetation indices
remote sensing
greenhouse
time-series data
scattering
sensor
crop area
speckle
spatial data
grapevine breeding
wide field view
partial least squares-discriminant analysis
spiking
area frame sampling
chromium content
machine-learning
RGB-D sensor
pest scouting
PLS
Capsicum annuum
spatial-temporal model
drying temperature
boron tolerance
ambient intelligence
laser wavelength
fuzzy logic
dynamic weight
landslide
management zones
real-time processing
event detection
crop monitoring
apple shelf-life
rice field monitoring
wireless sensor
birth sensor
proximal sensor
ISBN 3-03897-413-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346859003321
Moshou Dimitrios  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Sensors in Agriculture . Volume 2
Sensors in Agriculture . Volume 2
Autore Moshou Dimitrios
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (354 p.)
Soggetto non controllato optical sensor
spectral analysis
response surface sampling
sensor evaluation
electromagnetic induction
multivariate water quality parameters
mandarin orange
crop inspection platform
SPA-MLR
object tracking
feature selection
simultaneous measurement
diseases
genetic algorithms
processing of sensed data
electrochemical sensors
thermal image
ECa-directed soil sampling
handheld
recognition patterns
salt concentration
clover-grass
bovine embedded hardware
weed control
soil
field crops
vineyard
connected dominating set
water depth sensors
SS-OCT
wheat
striped stem-borer
silage
geostatistics
detection
NIR hyperspectral imaging
electronic nose
machine learning
virtual organizations of agents
packing density
data validation and calibration
dataset
Wi-SUN
temperature sensors
geoinformatics
gas sensor
X-ray fluorescence spectroscopy
vegetable oil
photograph-grid method
Vitis vinifera
WSN distribution algorithms
laser-induced breakdown spectroscopy
irrigation
quality assessment
energy efficiency
wireless sensor network (WSN)
geo-information
Fusarium
texture features
weeds
discrimination
big data
soil moisture sensors
meat spoilage
land cover
stereo imaging
near infrared sensors
biological sensing
compound sensor
pest management
moisture
plant localization
heavy metal contamination
artificial neural networks
spectral pre-processing
moisture content
apparent soil electrical conductivity
data fusion
semi-arid regions
smart irrigation
back propagation model
wireless sensor network
energy balance
light-beam
fluorescent measurement
agriculture
precision agriculture
deep learning
spectroscopy
hulled barely
dielectric probe
RPAS
water supply network
rice leaves
mobile app
gradient boosted machines
hyperspectral camera
one-class
nitrogen
LiDAR
total carbon
chemometrics analysis
rice
agricultural land
on-line vis-NIR measurement
CARS
obstacle detection
stratification
neural networks
regression estimator
Kinect
proximity sensing
distributed systems
pest
noninvasive detection
texture feature
soil mapping
classification
soil salinity
visible and near-infrared reflectance spectroscopy
germination
computer vision
hyperspectral imaging
diffusion
dielectric dispersion
UAS
random forests
case studies
total nitrogen
thermal imaging
cameras
dry matter composition
near-infrared
salt tolerance
deep convolutional neural networks
soil type classification
water management
preprocessing methods
wireless sensor networks (WSN)
remote sensing image classification
precision plant protection
radar
spatial variability
GF-1 satellite
plant disease
naked barley
leaf area index
CIE-Lab
change of support
radiative transfer model
3D reconstruction
plant phenotyping
vine
near infrared
vegetation indices
remote sensing
greenhouse
time-series data
scattering
sensor
crop area
speckle
spatial data
grapevine breeding
wide field view
partial least squares-discriminant analysis
spiking
area frame sampling
chromium content
machine-learning
RGB-D sensor
pest scouting
PLS
Capsicum annuum
spatial-temporal model
drying temperature
boron tolerance
ambient intelligence
laser wavelength
fuzzy logic
dynamic weight
landslide
management zones
real-time processing
event detection
crop monitoring
apple shelf-life
rice field monitoring
wireless sensor
birth sensor
proximal sensor
ISBN 3-03897-745-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346858903321
Moshou Dimitrios  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui