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 Deep Learning Strategies for the Analysis of Remote Sensing Images
Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images
Autore Bazi Yakoub
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (438 p.)
Soggetto topico Research and information: general
Soggetto non controllato 3D information
adversarial learning
anomaly detection
Batch Normalization
building damage assessment
CNN
conditional random field (CRF)
convolution
convolutional neural network
convolutional neural networks
CycleGAN
data augmentation
deep convolutional networks
deep features
deep learning
densenet
DenseUNet
depthwise atrous convolution
desert
despeckling
edge enhancement
EfficientNets
faster region-based convolutional neural network (FRCNN)
feature engineering
feature fusion
framework
generative adversarial networks
Generative Adversarial Networks
global convolution network
hand-crafted features
high spatial resolution remote sensing
high-resolution remote sensing image
high-resolution remote sensing imagery
high-resolution representations
hyperspectral image classification
image classification
infrastructure
ISPRS vaihingen
Landsat-8
lifting scheme
LSTM
LSTM network
machine learning
mapping
min-max entropy
misalignments
monitoring
multi-scale
nearest feature selector
neural networks
object detection
object-based
Open Street Map
open-set domain adaptation
orthophoto
orthophotos registration
orthophotos segmentation
OUDN algorithm
outline extraction
pareto ranking
pavement markings
pixel-wise classification
plant disease detection
post-disaster
precision agriculture
remote sensing
remote sensing imagery
result correction
road
road extraction
SAR
satellite
satellites
scene classification
semantic segmentation
Sentinel-1
single-shot
single-shot multibox detector (SSD)
Sinkhorn loss
sub-pixel
super-resolution
synthetic aperture radar
text image matching
triplet networks
two stream residual network
U-Net
UAV multispectral images
Unmanned Aerial Vehicles (UAV)
unsupervised segmentation
urban forests
visibility
water identification
water index
wildfire detection
xBD
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557747903321
Bazi Yakoub  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Sensing and Image Processing Techniques for Healthcare Applications
Advanced Sensing and Image Processing Techniques for Healthcare Applications
Autore Abolghasemi Vahid
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (258 p.)
Soggetto topico Computer science
Information technology industries
Soggetto non controllato 3D body shapes
absorption near infrared
age
anthropometry
arterial hypotension
artificial intelligence
ataxia
auditory discrimination therapy
BConvLSTM
bladder irrigation monitor
blind
body weights and measures
braille system
brain activity
brain tissue segmentation
bubble detection
cell mechanics
coherent plane-wave compounding (CPWC)
complementary subset transmit (CST)
convolutional neural network
convolutional neural networks
CT image
cycle constraint
decellularization
delay-and-sum (DAS)
delay-multiply-and-sum (DMAS)
denoising convolutional neural network
ECG
echo-planar imaging
EEG
EEG evaluation
elasticity measurement
EMG
essential tremor
event-related desynchronization
event-related synchronization
exercise
exercise habit
feature engineering
feature pyramid network
finger-nose-finger test
H&E
hemoglobin sensor
hypotension
image processing
image registration
invasive blood pressure
liver
lung
machine learning
magnetic resonance fingerprinting
magnetic resonance images
mechanical properties
multi-branch dense prediction
multi-branch output
multi-branch pooling
multi-scale feature learning
multimodal features
object detection
plane-wave (PW) imaging
postpartum period
power doppler detection
pregnancy period
ResNet-34
rigid alignment
robotic cell manipulation
segmentation
self-attention
self-supervision
semantic segmentation
signal coherence
T1 and T2* relaxation times
tinnitus
tissue engineering
tremor
U-Net
viscosity measurement
vital sign
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566486403321
Abolghasemi Vahid  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Assessment of Renewable Energy Resources with Remote Sensing
Assessment of Renewable Energy Resources with Remote Sensing
Autore Martins Fernando Ramos
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (244 p.)
Soggetto topico Research & information: general
Soggetto non controllato artificial neural networks
Baltic area
climate
cloud
cloud coverage
cloud detection
coastal wind measurements
coastline
computational design method
convection
CSP plants
data processing
digitized image processing
electrical resistivity tomography
extreme value analysis
feature engineering
feature importance
forecasting
geophysical prospecting
geothermal energy
GES-CAL software
global radiation
graphical user interface software
Hazaki Oceanographical Research Station
hydropower reservoir
image processing
lake breeze influence
light gradient boosting machine
machine learning
machine learning techniques
metaheuristic
multistep-ahead prediction
parameter extraction
passive design strategy
photovoltaic power plant
plan position indicator
point cloud data
potential well field location
remote sensing
remote sensing data acquisition
renewable energy resource assessment and forecasting
satellite
scanning LiDAR
scatterometer
shading envelopes
sky camera
smart island
solar energy
solar energy resource
solar irradiance enhancement
solar irradiance estimation
solar irradiance forecasting
solar photovoltaic
solar radiation forecasting
statistical analysis
surface solar radiation
time domain electromagnetic method
total sky imagery
velocity volume processing
voxel-design approach
whale optimization algorithm
wind speed
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557427903321
Martins Fernando Ramos  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Empowering Materials Processing and Performance from Data and AI
Empowering Materials Processing and Performance from Data and AI
Autore Chinesta Francisco
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (156 p.)
Soggetto topico Technology: general issues
Soggetto non controllato additive manufacturing
analytical model
artificial neural networks
Code2Vect
computational modeling
constitutive modeling
data driven
data mining
data-driven
data-driven mechanics
effective properties
elasto-visco-plasticity
FE-beam model
feature engineering
finite element model
Gaussian process
Gaussian process regression
GENERIC
hardness
high-throughput experimentation
hyperelasticity
laser shock peening
machine learning
manifold learning
mechanical properties
microcompression
microstructures
model calibration
model correction
multiscale
n/a
nanoindentation
nanoporous metals
neural networks
nonlinear
nonlinear regression
open-pore foams
physics based
plasticity
principal component analysis
residual stresses
sensitivity analysis
soft living tissues
spherical indentation
statistical analysis
stochastics
structure-property relationship
TDA
Ti-Mn alloys
topological data analysis
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557717703321
Chinesta Francisco  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Machine Learning in Tribology
Machine Learning in Tribology
Autore Tremmel Stephan
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (208 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato amorphous carbon coatings
analysis
artificial intelligence
artificial neural networks
bearing fault diagnosis
BERT
cage instability
condition monitoring
Convolutional Neural Network (CNN)
data mining
databases
digital twin
dynamic friction
evolutionary algorithms
fault data generation
feature engineering
Gaussian processes
Generative Adversarial Network (GAN)
gradient boosting
laser surface texturing
machine learning
meta-modeling
monitoring
n/a
natural language processing
neural networks
optimization
PINN
prediction
random forest
random forest classifier
reduced order modelling
regression
remaining useful life
reynolds equation
rolling bearing dynamics
rolling bearings
rubber seal applications
self-lubricating journal bearings
semi-supervised learning
structure-borne sound
tensor decomposition
texturing during moulding
total knee replacement
tribAIn
tribo-informatics
tribo-testing
triboinformatics
tribology
UHWMPE
unbalanced datasets
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910576887003321
Tremmel Stephan  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Machine Learning Methods with Noisy, Incomplete or Small Datasets
Machine Learning Methods with Noisy, Incomplete or Small Datasets
Autore Solé-Casals Jordi
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (316 p.)
Soggetto topico Information technology industries
Soggetto non controllato artificial intelligence
Artificial Neural Network
auto-encoders
binarization
COVID19
data augmentation
data science
deep learning
dengue
digital-gap
Discrete Cosine Transform (DCT)
Discrete Fourier Transform (DFT)
Discriminant Analysis
educational data
empirical mode decomposition
episodic memory
Extreme Learning Machines (ELM)
feature elimination
feature engineering
feature extraction
feature importance
feature selection
few-shot learning
functional connectivity
functional magnetic resonance imaging
gender-gap
graph model
hierarchical clustering
image generation
imperfect dataset
independent component analysis
intelligent decision support
Internet of Things (IoT)
label correlations
machine learning
machine translation
Markov Chain Monte Carlo (MCMC)
multifrequency impedance
neural network
noise elimination
noisy datasets
non-negative matrix factorization
ontology
open contours
optimization
pairwise evaluation
Parkinson's disease
permutation-variable importance
persistent entropy
policy-making support
prediction
preprocessing
recurrent neural network
root canal measurement
semi-supervised learning
shadow detection
shadow estimation
similarly shaped fish species
single sample per person
small data-sets
small datasets
small sample learning
smart building
social vulnerability
sound event detection
space consistency
sparse representations
support-vector machine
tensor completion
tensor decomposition
topological data analysis
ultrasound images
weighted interpolation map
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557324603321
Solé-Casals Jordi  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Recent Advances in Single-Particle Tracking: Experiment and Analysis
Recent Advances in Single-Particle Tracking: Experiment and Analysis
Autore Szwabiński Janusz
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (238 p.)
Soggetto topico Physics
Research and information: general
Soggetto non controllato 3D single-particle tracking
anomalous diffusion
autocovariance function
Brownian particle
confinement
CTRW
deep learning
diauxic growth
diffusing-diffusivity
endosomes
estimation
feature engineering
Fisher information
fractional Brownian motion
heterogeneous
information theory
integro-differential equations
machine learning classification
mesoscopic model
Monte Carlo simulations
multifractional Brownian motion
neural network
non-uniform illumination
occupation time statistics
phase contrast image segmentation
power of the statistical test
random walk
replicator equation
residual neural networks
single particle trajectory
single pseudo-particle tracking
single-particle tracking
SPT
statistical analysis
stochastic processes
stochastic thermodynamics
trajectory classification
trapping
wound healing dynamics
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Recent Advances in Single-Particle Tracking
Record Nr. UNINA-9910566467703321
Szwabiński Janusz  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Wearable and Nearable Biosensors and Systems for Healthcare
Wearable and Nearable Biosensors and Systems for Healthcare
Autore Di Rienzo Marco
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (226 p.)
Soggetto topico Humanities
Social interaction
Soggetto non controllato acceleration
accelerometers
acoustic emissions
adaptive recursive least squares filter (ARLSF)
ageing
ballistocardiogram
ballistocardiography
BCI
blood pressure
body sensor network
capacitive sensors
cardiac mechanics
cardiac output
compression therapy
consumer-wearable devices
CSP
EEG
electro-oscillography (EOG)
electrocardiogram
Electrocardiogram (ECG)
Emfit
expertise
FBCSP (filter bank common spatial pattern)
feature engineering
flexible sensors
gender
glove
grip force control
grip force profiles
heart rate
home monitoring
human activity recognition
in-ear
joint sounds
knee joint loading
LC sensor
machine learning
medical pressure monitoring
motion artifact
n/a
online learning
optical pulse rate monitoring
particle swarm optimization (PSO)
photoplethysmogram
photoplethysmography
pick-and-drop simulator task
pressure sensor
pressure sensors
pulse rate
pulse transit time
quaternion
Riemannian geometry
robotic assistant systems for surgery
seismocardiogram
seismocardiography
Seismocardiography (SCG)
sensor fusion
sleep apnea
sleep recording
smartphone
stress evaluation
stroke volume
support vector machine
synchronization
tangent space
telemedicine
telerehabilitation
thin-film sensors
total peripheral resistance
ultra-short heart rate variability
unsupervised learning
validation
voice analysis
wearable sensing
wearable sensor
wireless sensors
wound monitoring
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557338203321
Di Rienzo Marco  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui