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