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Advances in Chemical Analysis Procedures (Part II) : Statistical and Chemometric Approaches
Advances in Chemical Analysis Procedures (Part II) : Statistical and Chemometric Approaches
Autore Locatelli Marcello
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (224 p.)
Soggetto topico Medicine
Soggetto non controllato Paris polyphylla Smith var. yunnanensis
multivariate analysis
chemometrics
Fourier transform infrared
amino acids
reversed-phase liquid chromatography
gradient elution
retention prediction
artificial neural network
Macrohyporia cocos
data fusion
liquid chromatography
fourier transform infrared spectroscopy
partial least squares discriminant analysis
authentication
Gastrodia elata tuber
quality evaluation
HPLC
QAMS
Ranae Oviductus
identification
protein
RP-HPLC
fingerprint
fish and seafood
food authentication
fingerprinting
wild and farmed
geographical origin
vibrational spectroscopy
absorption/fluorescence spectroscopy
nuclear magnetic resonance
hyperspectral imaging
saffron
adulteration
food authenticity
gas-chromatography
eupatorin
UHPLC-Q-TOF-MS/MS
metabolism
in vivo and in vitro
rat liver microsomes
rat intestinal flora
untargeted metabolomics
PARAFAC2
alignment
gas chromatography–mass spectrometry (GC–MS)
prostate carcinoma
forced degradation
degradation products
stress test
diatoms
biogenic silica
ATR-FTIR
NAS
quality control
Raman spectroscopy
honey
PLS regression models
physicochemical parameters
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Advances in Chemical Analysis Procedures
Record Nr. UNINA-9910557507103321
Locatelli Marcello  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Biometric Systems
Biometric Systems
Autore Nanni Loris
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (352 p.)
Soggetto topico Technology: general issues
Soggetto non controllato online signature verification
shape contexts
function features
SC-DTW
symbolic representation
two-stage method
finger features
multimodal recognition
local coding
Gabor filter
LGS
human identification
biomarker
ECG
machine learning
Physionet
Lviv Biometric Dataset
biometry
identification
bloodstream
image recognition
multi-biometrics
bit planes
block
mutual information
cross-device
dorsal hand vein recognition
person re-identification
superpixel
temporally aligned pooling
walking cycle
automatic recognition
face
voice
body motion
autism spectrum disorder (ASD)
assessment
intervention
curve similarity
curve similarity model
curve similarity transformation
similarity distance
segmentation matching
evolutionary computation
finger vein recognition
hand vein recognition
contactless acquisition device
public vascular pattern dataset
biometric recognition performance evaluation
face verification
optical correlation
Hausdorff distance
image classification
face detection
depth map ensemble
filtering
geometric deep learning
ear detection
structured prediction
semantic segmentation
rotation equivariance
Gaussian mixture model
superpixels
face recognition systems
person identification
biometric systems
survey
automatic signature verification
touch-screen sensor
data quality
enrollment phase
performance assessment
augmented signature
security enhancement
mobile conditions
biometric recognition
visible light iris images
image quality assessment
image covariates
quality filtering
vascular biometric recognition
wrist vein recognition
contactless dataset
pattern recognition
infrared camera
non-contact devices
Scale-Invariant Feature Transform (SIFT®)
Speeded Up Robust Features (SURF®)
Oriented FAST and Rotated BRIEF (ORB)
fingerprint
presentation attack detection
deep learning
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557789403321
Nanni Loris  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui