top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Biometric Systems
Biometric Systems
Autore Nanni Loris
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (352 p.)
Soggetto topico Technology: general issues
Soggetto non controllato assessment
augmented signature
autism spectrum disorder (ASD)
automatic recognition
automatic signature verification
biomarker
biometric recognition
biometric recognition performance evaluation
biometric systems
biometry
bit planes
block
bloodstream
body motion
contactless acquisition device
contactless dataset
cross-device
curve similarity
curve similarity model
curve similarity transformation
data quality
deep learning
depth map ensemble
dorsal hand vein recognition
ear detection
ECG
enrollment phase
evolutionary computation
face
face detection
face recognition systems
face verification
filtering
finger features
finger vein recognition
fingerprint
function features
Gabor filter
Gaussian mixture model
geometric deep learning
hand vein recognition
Hausdorff distance
human identification
identification
image classification
image covariates
image quality assessment
image recognition
infrared camera
intervention
LGS
local coding
Lviv Biometric Dataset
machine learning
mobile conditions
multi-biometrics
multimodal recognition
mutual information
non-contact devices
online signature verification
optical correlation
Oriented FAST and Rotated BRIEF (ORB)
pattern recognition
performance assessment
person identification
person re-identification
Physionet
presentation attack detection
public vascular pattern dataset
quality filtering
rotation equivariance
SC-DTW
Scale-Invariant Feature Transform (SIFT®)
security enhancement
segmentation matching
semantic segmentation
shape contexts
similarity distance
Speeded Up Robust Features (SURF®)
structured prediction
superpixel
superpixels
survey
symbolic representation
temporally aligned pooling
touch-screen sensor
two-stage method
vascular biometric recognition
visible light iris images
voice
walking cycle
wrist vein recognition
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
Indoor Thermal Comfort
Indoor Thermal Comfort
Autore D'Ambrosio Francesca Romana
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (230 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato age of air
app
bioheat model
biological structure and composition
building simulation
clothing thermal insulation
comfort indices
computational fluid dynamics
convolution neural networks
cooling period
demand controlled ventilation (DCV)
desert cooler
draught
effectiveness model
energy consumption
evaluation indicators
evaporative cooling
Fanger's models
feedback strategies
health and comfort
heat accumulation
human health
hybrid ventilation
individual metering
indoor air quality
indoor air quality (IAQ)
indoor comfort
indoor environmental quality
infrared camera
internet of things (IoT)
IoT
liquid desiccant
moderate environments
moisture removal
MRI analysis
N-ZEB
open office
passive heating systems
PMV
sensitivity analysis
simulation analysis
smart broiler chamber
soft-sensor
software
sport facilities
Tanabe model
thermal comfort
thermal comfort assessment
thermal comfort models
thermal sensation
thermoregulation model
tissue temperature
Trombe wall
user awareness
ventilation system
wind velocity
work environments
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557551303321
D'Ambrosio Francesca Romana  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui