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.
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 Mobile Mapping Technologies
Advances in Mobile Mapping Technologies
Autore Lehtola Ville
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (268 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato 3D camera
3D city model
3D mapping
3D simulation
3D surveying
6-DoF
accuracy
boresight angles
building 3D modelling
CAM localization
CNN features
configuration analysis
control points
controllability
convolutional neural networks
correlation coefficient
data fusion
dataset
deep learning
DSIEKF
DTM
embedded-systems
evaluation
exposure control
F-CNN
geometrical constraints
georeferencing
graph matching
guidance
Helmert variance component estimation
IEKF
imaging network design
inception
laser scanning
lever arm
Lidar
LiDAR
line feature matching method
loop closure detection
manhole cover
mobile laser scanning
Mobile Laser Scanning
mobile mapping
mobile mapping systems
MSS
Ouster OS-1-64
outdoor
Pandar64
parking statistics
path planning
performance evaluation
photogrammetry
plane-based calibration field
point and line features
point cloud
point cloud coverage
point cloud density
point clouds
real-time
RetinaNet
RGB-D
robot operating system
scene completion
semantic
semantic topology graph
smart city
synthetic
TLS reference point clouds
transfer learning
V-SLAM
vehicle detection
view planning
visual SLAM
visual-inertial odometry
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566470903321
Lehtola Ville  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Artificial Intelligence and Cognitive Computing : Methods, Technologies, Systems, Applications and Policy Making
Artificial Intelligence and Cognitive Computing : Methods, Technologies, Systems, Applications and Policy Making
Autore Lytras Miltiadis
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (278 p.)
Soggetto topico Information technology industries
Soggetto non controllato air quality
anomalies
artificial intelligence
Artificial intelligence
artificial neural network
assembly clearance
barnett shale
clustering
CO2 flooding
data envelopment analysis
data mining
decision making
decision-making system
deep learning
devonian shale
diesel engine quality
dimension reduction
elastic parameters
empirical correlations
face recognition
fishbone multilateral wells
histogram of oriented gradients
Hybrid clustering
international research
Internet of things
knowledge map visualization
location prediction
Long Short Term Memory (LSTM)
LSTM
machine learning
minimum miscibility pressure (MMP)
mixed integer linear programming
most-matching
Multi-hop routing
multivariate
n/a
Network lifetime
neural networks
new models
performance
Poisson's ratio
policy documents quantification
policy keyword
predictive models
real-time
regular patterns
research hotspot
rheological properties
rough set
sandstone
sandstone formations
security
self-adaptive differential evolution
smart cities
smart tourism
spatiotemporal
speech output correction
speech recognition
spoofing
static Young's modulus
system
total organic carbon
trajectories
visual analytics
water-based drill-in fluid
well productivity
Wireless nodes
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Artificial Intelligence and Cognitive Computing
Record Nr. UNINA-9910557356503321
Lytras Miltiadis  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Biosensors - Recent Advances and Future Challenges
Biosensors - Recent Advances and Future Challenges
Autore Katz Evgeny
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (504 p.)
Soggetto topico Technology: general issues
Soggetto non controllato 2D nanomaterials
2D-materials
3D printing
additive manufacturing
amperometric (bio)sensors
antibiofouling
bacteria
biocatalysis
bioelectrochemistry
biomarkers
biometrics
biomimetic membranes
biosensor
biosensors
black phosphorus
blood
calibration-free
cancer
capacitive EIS sensor
carbon nanotube
catalytic properties
charged molecules
chemical sensor
cipher
continuous operation
current-potential curve
cybersecurity
direct electron transfer (DET)
DNA
DNA assay
DNA biosensor
electrochemical aptamer-based assays
electrochemical biosensors
electrochemical DNA sensor
electrochemical ELISA
electrochemical immunoassays
electrochemistry
electrodes
electronanocatalyst
enzyme
enzyme biosensor
enzyme-based biosensors
field effect
field-effect transistor
fingerprints
foreign body reaction
forensics
glucose
glucose biosensors
graphene
heme
hexagonal boron nitride
human physiological fluids
immunosensor
ion selective electrodes
isothermal
label-free detection
lactate
mass-transfer-controlled amperometric response
membrane-bound enzymes
metabolism
metabolite sensors
metallic sulfide nanomaterials
microfluidic
microfluidics
multi-enzymatic cascades
multianalyte detection
MXenes
n/a
nano-peroxidase
nanocomposite
nanolaccase
nanooxidase
nanoparticle
nanoporous gold
nanoporous metals
nanostructured electrodes
nanozyme
non-invasive biosensors
nucleic acid
nucleic acid sensor
O2
ordered mesoporous carbon
pathogen sensing
peroxidase mimics
peroxidases
pH sensor
phosphorene
photo-biosensors
POC
potentiometric coulometry
protein detection
protein film voltammetry (PFV)
reagentless
real-time
redox enzymes
remote monitoring
restriction endonuclease
reusable
RNA
saliva
semiconductors
sensor biocompatibility
signal amplification
sulfur-containing nanomaterials
sulfur-containing quantum dots
sweat
synthesis
tears
transition metal dichalcogenides
transition metal oxides
urine
wearable biosensors
wearables
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557118203321
Katz Evgeny  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Carbon-Based Nanomaterials for (Bio)Sensors Development
Carbon-Based Nanomaterials for (Bio)Sensors Development
Autore Morais Simone
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (234 p.)
Soggetto topico Technology: general issues
Soggetto non controllato 3D printing
active carbon
aquatic fauna
biomimetic sensor
biosensor
butane
carbon dioxide
carbon dots
carbon nanofibers
carbon nanomaterials
carbon nanotubes
carbon-based nanomaterials
carbon-surfaces
chemo- and biosensor
Cortaderia selloana
detector
dipicolinic acid
dopamine
drop-cast
electrochemical sensors
electrospinning
environment
field effect transistor
flexible electronics
food safety
gas sensor
gauge factor
GFET
graphene
graphene nanoribbon
heavy metal
hemoglobin determination
humidity
hybrid nanomaterials
lead sensor
low-cost adsorbents
luminescence
metal organic framework
MnO2 nanoflowers
N-doped reduced graphene oxide
n/a
nano carbon black
nanocomposite
nanoparticles
nitrogen
non-covalent
oxygen
PDMS
percolation threshold
polydimethylsiloxane
portable instrumentation
pressure sensors
propane
Prussian blue
ratiometric fluorescence nanoprobe
real-time
resistor
room temperature phosphorescence
schizochytrium
sensor
sensors and biosensors
spectroscopic ellipsometry
surface-enhanced Raman scattering
Tb3+
ultrathin gold films
uric acid
voltammetric sensor
water
waters
wearable electronics
zirconia nanoparticles
π-π stacking
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Carbon-Based Nanomaterials for
Record Nr. UNINA-9910557336803321
Morais Simone  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Cardiovascular and Thoracic Imaging: Trends, Perspectives and Prospects
Cardiovascular and Thoracic Imaging: Trends, Perspectives and Prospects
Autore Ohana Mickaël
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (130 p.)
Soggetto topico Medical equipment and techniques
Soggetto non controllato arrhythmia
artifact
asbestos-exposition
asbestosis
bronchiolitis obliterans
carcinoid tumor
cardiac
chronic obstructive
CMR
compressed sensing
computed tomography
computer-assisted
congenital heart disease
diagnostic imaging
dual-energy CT
extra-cellular volume
fast imaging
function
GUCH
heart
helical computed tomography
HRCT
image processing
image quality
iodine
lung
lung transplantation
lymphatic metastasis
magnetic resonance
multidetector computed tomography
myocarditis
neoplasm metastasis
neuroendocrine cells
photon-counting detectors
pulmonary disease
radiation dosage
real-time
real-time imaging
retrogating
retrospective
thorax
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Cardiovascular and Thoracic Imaging
Record Nr. UNINA-9910566471403321
Ohana Mickaël  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Challenges and Directions Forward for Dealing with the Complexity of Future Smart Cyber-Physical Systems
Challenges and Directions Forward for Dealing with the Complexity of Future Smart Cyber-Physical Systems
Autore Törngren Martin
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (232 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato adaptation
allocation
ampliative reasoning mechanism
architecture layer
Automatic Code Generation
autonomous cyber-physical systems
CBD
complexity
component allocation
component-based development
component-based software engineering
computational functions
Cyber Physical Systems
cyber-physical systems
data-driven system control
distributed control
distributed design
distribution network
EAST-ADL
embedded systems
Embedded Systems
energy consumption
ethics
field test
Fixed-Priority Preemptive Scheduling (FPPS)
GPU
GPU component
human/socially-centered applications
IDE
Internet of Things
microgrid
mixed-criticality systems
mode
mode-switch
model testing
Model-Based Design
multi-core
mutation testing
n/a
nano-bio-info-cogno technologies
plug-n-play
procedural abduction
Reactive Systems
real-time
real-time systems
resilience
run-time acquired data
scheduling
self-adaptation capability
self-generated intelligence
self-similar architecture
smart cyber-physical systems
software component
systems engineering
time-triggered system
uncertainty
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557582003321
Törngren Martin  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Deep Learning-Based Action Recognition
Deep Learning-Based Action Recognition
Autore Lee Hyo Jong
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (240 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato 3D skeletal
3D-CNN
action recognition
activity recognition
artificial intelligence
class regularization
class-specific features
CNN
continuous hand gesture recognition
convolutional receptive field
data augmentation
deep learning
dynamic gesture recognition
Dynamic Hand Gesture Recognition
embedded system
feature fusion
feedforward neural networks
fusion strategies
gesture classification
gesture spotting
graph convolution
hand gesture recognition
hand shape features
high-order feature
human action recognition
human activity recognition
human-computer interaction
human-machine interface
Long Short-Term Memory
multi-modal features
multi-modalities network
multi-person pose estimation
n/a
partition pose representation
partitioned centerpose network
pose estimation
real-time
spatio-temporal differential
spatio-temporal feature
spatio-temporal image formation
spatiotemporal activations
spatiotemporal feature
stacked hourglass network
transfer learning
ISBN 3-0365-5200-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910619465803321
Lee Hyo Jong  
MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Distributed and Parallel Architectures for Spatial Data
Distributed and Parallel Architectures for Spatial Data
Autore Belussi Alberto
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (170 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato Agenda 2063
arable land quality (ALQ)
big data
buffer analysis
CUDA
data warehouses
DEM
distributed processing technique
geoportal
geospatial applications
geospatial big data
geospatial data
GIS
GPU
grid structure
Hadoop
IoT
location-based aggregate queries
MapReduce
MapReduce-based aggregate query algorithm
mobility
mobility analytics
monitoring and evaluation
multiple flow accumulation
OpenACC
parallel computing
parallel processing
real-time
soil erosion modelling
spatial big data
spatiotemporal OLAP
sustainable development
tile-pyramid
visualization-oriented
watershed analysis
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910674022403321
Belussi Alberto  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Energy Data Analytics for Smart Meter Data
Energy Data Analytics for Smart Meter Data
Autore Reinhardt Andreas
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (346 p.)
Soggetto topico Technology: general issues
Soggetto non controllato activation current
ambient influences
appliance load signatures
appliance recognition
attention mechanism
convolutional neural network
Convolutional Neural Network
data annotation
data privacy
data-driven approaches
deep learning
deep neural network
deep neural networks
device classification accuracy
distance similarity matrix
electric load simulation
electric vehicle
electrical energy
electricity theft detection
energy consumption
energy data analytics
energy data processing
energy disaggregation
ethics
exponential distribution
fryze power theory
Gaussian mixture models
GDPR
K-means cluster
load disaggregation
load scheduling
machine learning
mathematical modeling
multi-label learning
n/a
NILM
NILM datasets
non-intrusive load monitoring
Non-intrusive Load Monitoring
Non-Intrusive Load Monitoring (NILM)
nontechnical losses
Poisson distribution
power consumption data
power signature
pulse generator
random forest
real-time
review
satisfaction
semi-automatic labeling
Shapley Value
signature
simulation
smart energy system
smart grid
smart grids
smart meter
smart meter data
smart metering
smart meters
smart power grids
solar photovoltaics
synthetic data
synthetic minority oversampling technique
text convolutional neural networks (TextCNN)
time-series classification
transient load signature
transients
user-centric applications of energy data
V-I trajectory
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557645803321
Reinhardt Andreas  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui