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.
Advances in Hydrologic Forecasts and Water Resources Management
Advances in Hydrologic Forecasts and Water Resources Management
Autore Chang Fi-John
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (272 p.)
Soggetto topico Research & information: general
Soggetto non controllato water resources management
landslide
dammed lake
flood risk
time-varying parameter
GR4J model
changing environments
temporal transferability
western China
cascade hydropower reservoirs
multi-objective optimization
TOPSIS
gravitational search algorithm
opposition learning
partial mutation
elastic-ball modification
Snowmelt Runoff Model
parameter uncertainty
data-scarce deglaciating river basin
climate change impacts
generalized likelihood uncertainty estimation
Yangtze River
cascade reservoirs
impoundment operation
GloFAS-Seasonal
forecast evaluation
small and medium-scale rivers
highly urbanized area
flood control
whole region perspective
coupled models
flood-risk map
hydrodynamic modelling
Sequential Gaussian Simulation
urban stormwater
probabilistic forecast
Unscented Kalman Filter
artificial neural networks
Three Gorges Reservoir
Mahalanobis-Taguchi System
grey entropy method
signal-to-noise ratio
degree of balance and approach
interval number
multi-objective optimal operation model
feasible search space
Pareto-front optimal solution set
loss–benefit ratio of ecology and power generation
elasticity coefficient
empirical mode decomposition
Hushan reservoir
data synthesis
urban hydrological model
Generalized Likelihood Uncertainty Estimation (GLUE)
Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)
uncertainty analysis
NDVI
Yarlung Zangbo River
machine learning model
random forest
Internet of Things (IoT)
regional flood inundation depth
recurrent nonlinear autoregressive with exogenous inputs (RNARX)
artificial intelligence
machine learning
multi-objective reservoir operation
hydrologic forecasting
uncertainty
risk
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557110703321
Chang Fi-John  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Continuous Casting
Continuous Casting
Autore Vynnycky Michael
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (250 p.)
Soggetto non controllato inclusion motion
air mist spray cooling
empirical mode decomposition
electromagnetic field
solidification
final electromagnetic stirring
beam blank
liquid core reduction
tundish
thermomechanical coupling
flow behavior
steel tundish
austenite grain coarsening
pores
annular argon blowing
round bloom
mold
thin-slab cast direct-rolling
data stream
grain growth control
propagation
two-phase pinning
HTC
prediction
argon gas distribution
baffle
flow field
bubbles
heat transfer
inclusions
upper nozzle
swirling flow tundish
crystal
hybrid simulation model
roll gap value
inclusion entrapment
fluid flow
billet continuous casting
mechanism
heat flux
numerical simulation
secondary cooling
uneven secondary cooling
polycrystalline model
mold level
continuous casting
entrainment
slab continuous casting
magnetohydrodynamics
entrapment
asymptotic analysis
bulge deformation
slab mold
segmented roller
velocity
finite element analysis
multi-source information fusion
global optimization
support vector regression
variational mode decomposition
multiphase flow
molten steel flow
PIV
ISBN 3-03921-322-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346839503321
Vynnycky Michael  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Entropy Measures for Data Analysis: Theory, Algorithms and Applications
Entropy Measures for Data Analysis: Theory, Algorithms and Applications
Autore Keller Karsten
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (260 p.)
Soggetto non controllato fault diagnosis
empirical mode decomposition
auditory attention
Dempster-Shafer evidence theory
simulation
uncertainty of basic probability assignment
center of pressure displacement
particle size distribution
multivariate analysis
symbolic analysis
permutation entropy
short time records
co-evolution
plausibility transformation
experiment of design
cross-entropy method
weighted Hartley entropy
firefly algorithm
embedded dimension
entropy measure
effective transfer entropy
treadmill walking
ordinal patterns
complex fuzzy set
entropy visualization
belief entropy
signal classification
machine learning evaluation
novelty detection
selfsimilar measure
Permutation entropy
automatic learning
cross wavelet transform
cross-visibility graphs
Kolmogorov-Sinai entropy
distance
Shannon-type relations
Tsallis entropy
market crash
support vector machine (SVM)
conditional entropy of ordinal patterns
sample entropy
learning
electroencephalography (EEG)
meta-heuristic
entropy
data transformation
information entropy
signal analysis
synchronization analysis
similarity indices
data analysis
geodesic distance
auditory attention classifier
entropy measures
distance induced vague entropy
analog circuit
vague entropy
complex vague soft set
entropy balance equation
parametric t-distributed stochastic neighbor embedding
global optimization
learning systems
image entropy
algorithmic complexity
support vector machine
system coupling
relevance analysis
Chinese stock sectors
Shannon entropy
linear discriminant analysis (LDA)
information
information transfer
dual-tasking
non-probabilistic entropy
ISBN 3-03928-033-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Entropy Measures for Data Analysis
Record Nr. UNINA-9910367736303321
Keller Karsten  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
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 electronic resource (316 p.)
Soggetto topico Information technology industries
Soggetto non controllato open contours
similarly shaped fish species
Discrete Cosine Transform (DCT)
Discrete Fourier Transform (DFT)
Extreme Learning Machines (ELM)
feature engineering
small data-sets
optimization
machine learning
preprocessing
image generation
weighted interpolation map
binarization
single sample per person
root canal measurement
multifrequency impedance
data augmentation
neural network
functional magnetic resonance imaging
independent component analysis
deep learning
recurrent neural network
functional connectivity
episodic memory
small sample learning
feature selection
noise elimination
space consistency
label correlations
empirical mode decomposition
sparse representations
tensor decomposition
tensor completion
machine translation
pairwise evaluation
educational data
small datasets
noisy datasets
smart building
Internet of Things (IoT)
Markov Chain Monte Carlo (MCMC)
ontology
graph model
Artificial Neural Network
Discriminant Analysis
dengue
feature extraction
sound event detection
non-negative matrix factorization
ultrasound images
shadow detection
shadow estimation
auto-encoders
semi-supervised learning
prediction
feature importance
feature elimination
hierarchical clustering
Parkinson’s disease
few-shot learning
permutation-variable importance
topological data analysis
persistent entropy
support-vector machine
data science
intelligent decision support
social vulnerability
gender-gap
digital-gap
COVID19
policy-making support
artificial intelligence
imperfect dataset
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
Micro/Nano Manufacturing
Micro/Nano Manufacturing
Autore Zimmermann André
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (208 p.)
Soggetto non controllato path adaptability
uncertainty quantification
hardening
empirical mode decomposition
microlens array mold
gaussian process modeling
multi-objective particle swarm optimization
micro reactors
XRD
surface roughness
water impermeability tests
nanocone array
additive manufacturing
antireflection nanostructure
ultraprecision machining
Surface-enhanced Raman scattering
micro stereolithography
optical encoder
micro assembly
micro-optics
nanosphere array
micro-assembly
injection molding
Portland limestone ternary fiber–cement nanohybrids
hot embossing
deterministic polishing
micro-lens array
process parameter optimization
TGA/dTG
intrinsic mode function
micro factories
three-dimensional elliptical vibration cutting
flow control
micro-EDM molds
Image segmentation
micro actuators
culture dish adapter
flexural strength
SERS
low PC clinker
MIP
selective laser melting
micro sensors
friction coefficient
design of experiments
Ti6Al4V
micro-spring
contactless embossing
micro and nano additive manufacturing
Taguchi’s method
nanoimprinting
perfusion culture
micro and nano manufacturing
data structure
fluid jet polishing
nitrogen supersaturation
spatial uncertainty modeling
active alignment
variable pitch path
conceptual design
feature extraction
blaze
micro-nozzle
product development
opto-ASIC
wafer-level optics
residual error optimization
stiffness control
surface engineering and interface nanotechnology
design for manufacturability
anodic aluminum oxide
plasma nitriding
micro 3D printing
hydrophobicity
grating
micro-fluidics
closed environment
chatter identification
small recess structure
ISBN 3-03921-170-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367563703321
Zimmermann André  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Nonlinear Dynamics and Entropy of Complex Systems with Hidden and Self-excited Attractors
Nonlinear Dynamics and Entropy of Complex Systems with Hidden and Self-excited Attractors
Autore Kengne Jacques
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (290 p.)
Soggetto non controllato S-Box algorithm
empirical mode decomposition
service game
existence
hyperchaotic system
static memory
complex-variable chaotic system
neural network
fractional-order
permutation entropy
adaptive approximator-based control
BOPS
Bogdanov Map
complex systems
Thurston’s algorithm
parameter estimation
fractional discrete chaos
full state hybrid projective synchronization
self-excited attractor
stability
PRNG
inverse full state hybrid projective synchronization
entropy measure
chaos
chaotic flow
multistable
core entropy
multiscale multivariate entropy
multistability
new chaotic system
strange attractors
chaotic systems
spatial dynamics
spectral entropy
resonator
stochastic (strong) entropy solution
multichannel supply chain
Hubbard tree
approximate entropy
circuit design
coexistence
sample entropy
chaotic maps
chaotic map
Gaussian mixture model
entropy
laser
Non-equilibrium four-dimensional chaotic system
multiple attractors
projective synchronization
hidden attractors
hidden attractor
chaotic system
entropy analysis
self-excited attractors
multiple-valued
self-reproducing system
implementation
unknown complex parameters
optimization methods
image encryption
generalized synchronization
uncertain dynamics
fractional order
nonlinear transport equation
external rays
Lyapunov exponents
inverse generalized synchronization
fixed point
uniqueness
electronic circuit realization
synchronization
Hopf bifurcation
ISBN 3-03897-899-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346839603321
Kengne Jacques  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Photoacoustic Tomography (PAT)
Photoacoustic Tomography (PAT)
Autore Wang Xueding
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (154 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato photoacoustic imaging
tomography
thermoacoustic
radio frequency
image quality assessment
image formation theory
image reconstruction techniques
sparsity
signal processing
deconvolution
empirical mode decomposition
signal deconvolution
photoacoustics
tissue characterization
absorption
Photoacoustic Computed Tomography (PACT)
ring array
fast imaging
low cost
photoacoustic tomography
full-field detection
wave equation
final time inversion
uniqueness
stability
iterative reconstruction
3D photoacoustic tomography
full-view illumination and ultrasound detection
photoacoustic coplanar
quartz bowl
correlation matrix filter
time reversal operator
photo-acoustic tomography
reflection artifacts
deep learning
convolutional neural network
time reversal
Landweber algorithm
U-net
optoacoustic imaging
respiratory gating
motion artifacts
full-ring illumination
diffused-beam illumination
point source illumination
ultrasound tomography (UST)
photoacoustic tomography (PAT)
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Photoacoustic Tomography
Record Nr. UNINA-9910557141903321
Wang Xueding  
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 GPR Imaging
Recent Advances in GPR Imaging
Autore Laguela Susana
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (216 p.)
Soggetto non controllato Ground Penetrating Radar
3D visualization
digital elevation model (DEM)
empirical mode decomposition
ground penetrating radar (GPR)
GPR
doline
terrestrial laser scanning
GPR data processing
cave sediments
distributive analysis
clutter
test site
GPR imaging
karst
backscattering
quarry
railways
Kranjsko polje
marble
unroofed caves
X-ray fluorescence (XRF)
track geometry
X-ray diffraction (XRD)
non-destructive testing
toGPRi
time-frequency analysis
near-surface geophysics
scattering modelling
archaeology
morphometrical analysis
IMF-slices
electromagnetic propagation in nonhomogeneous media
infrared thermography
network level evaluation
land cultivation
signal frequency analysis
LiDAR
time-domain analysis
conglomerate
railway events
ground-penetrating radar
ground penetrating radar
variational mode decomposition
spectral domain
electrical resistivity imaging
ISBN 3-03921-811-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367745203321
Laguela Susana  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Signal Processing Using Non-invasive Physiological Sensors
Signal Processing Using Non-invasive Physiological Sensors
Autore Niazi Imran Khan
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (222 p.)
Soggetto topico Medical equipment & techniques
Soggetto non controllato movement intention
brain–computer interface
movement-related cortical potential
neurorehabilitation
phonocardiogram
machine learning
empirical mode decomposition
feature extraction
mel-frequency cepstral coefficients
support vector machines
computer aided diagnosis
congenital heart disease
statistical analysis
convolutional neural network (CNN)
long short-term memory (LSTM)
emotion recognition
EEG
ECG
GSR
deep neural network
physiological signals
electroencephalography
Brain-Computer Interface
multiscale principal component analysis
successive decomposition index
motor imagery
mental imagery
classification
hybrid brain-computer interface (BCI)
home automation
electroencephalogram (EEG)
steady-state visually evoked potential (SSVEP)
eye blink
short-time Fourier transform (STFT)
convolution neural network (CNN)
human machine interface (HMI)
rehabilitation
wheelchair
quadriplegia
Raspberry Pi
image gradient
AMR voice
Open-CV
image processing
acoustic
startle
reaction
response
reflex
blink
mobile
sound
stroke
EMG
brain-computer interface
myoelectric control
pattern recognition
functional near-infrared spectroscopy
z-score method
channel selection
region of interest
channel of interest
respiratory rate (RR)
Electrocardiogram (ECG)
ECG derived respiration (EDR)
auscultation sites
pulse plethysmograph
biomedical signal processing
feature selection and reduction
discrete wavelet transform
hypertension
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566473903321
Niazi Imran Khan  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Structural Prognostics and Health Management in Power & Energy Systems
Structural Prognostics and Health Management in Power & Energy Systems
Autore Wang Dong
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (218 p.)
Soggetto non controllato empirical mode decomposition
underground powerhouse
sensitivity analysis
DNN
fault detection
neural networks
structural health monitoring
analysis mode decomposition
dynamic analysis of the structure
residual useful life
renewable energy
remaining useful life
retrofitting activities
wind turbine blade
optimized deep belief networks
strain prediction
offshore wind turbines
low frequency tail fluctuation
oil and gas platforms
supporting vector machine (SVM)
wave–structure interaction (WSI)
sifting stop criterion
probabilistic analyses of stochastic processes and frequency
mode mixing
non-probabilistic reliability index
data-driven
prognostics
turbine blisk
wind turbines
supervisory control and data acquisition system
fuzzy safety criterion
analysis-empirical mode decomposition
rotation of hydraulic generator
life cycle cost
health monitoring
reliability
wavelet decomposition
weighted regression
similarity-based approach
vibration transmission mechanism
wind and wave analysis
full-scale static test
deep learning
multioperation condition
extremum surface response method
lithium-ion battery
vibration test
lateral-river vibration
operational modal analysis
dynamic analysis
regeneration phenomenon
machine learning
prognostic and Health Management
offshore structures
NAR neural network
techno-economic assessments
stochastic subspace identification
vertical axis wind turbine
dynamic fuzzy reliability analysis
ISBN 3-03921-767-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910372782603321
Wang Dong  
MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui