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.
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 online resource (260 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato algorithmic complexity
analog circuit
auditory attention
auditory attention classifier
automatic learning
belief entropy
center of pressure displacement
Chinese stock sectors
co-evolution
complex fuzzy set
complex vague soft set
conditional entropy of ordinal patterns
cross wavelet transform
cross-entropy method
cross-visibility graphs
data analysis
data transformation
Dempster-Shafer evidence theory
distance
distance induced vague entropy
dual-tasking
effective transfer entropy
electroencephalography (EEG)
embedded dimension
empirical mode decomposition
entropy
entropy balance equation
entropy measure
entropy measures
entropy visualization
experiment of design
fault diagnosis
firefly algorithm
geodesic distance
global optimization
image entropy
information
information entropy
information transfer
Kolmogorov-Sinai entropy
learning
learning systems
linear discriminant analysis (LDA)
machine learning evaluation
market crash
meta-heuristic
multivariate analysis
non-probabilistic entropy
novelty detection
ordinal patterns
parametric t-distributed stochastic neighbor embedding
particle size distribution
permutation entropy
Permutation entropy
plausibility transformation
relevance analysis
sample entropy
selfsimilar measure
Shannon entropy
Shannon-type relations
short time records
signal analysis
signal classification
similarity indices
simulation
support vector machine
support vector machine (SVM)
symbolic analysis
synchronization analysis
system coupling
treadmill walking
Tsallis entropy
uncertainty of basic probability assignment
vague entropy
weighted Hartley 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
Fluid/Structure Interactions
Fluid/Structure Interactions
Autore Semenov Yuriy
Pubbl/distr/stampa Basel, : 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 acoustic-structure coupling
axial hydraulic force
blade design
boundary condition
Brillouin criterion
cavity detachment
CFD-DEM
coastal structure
codend
computational fluid dynamics
cutting ratio
deformation
dominant frequency
electromagnetic excitation
engineering design parameters
environment protection
flexible beam
flexible pipe
fluid excitation
fluid mechanics
fluid-structure interaction
fluttering motions
free streamlines
freefall
high speed imaging
higher mode
hydraulic machinery runner
hydrodynamic characteristics
hydrodynamic loading
ice crack
ice resistance
intake velocity
Kane's method
lifeboat
lock-in
marine centrifugal pump
marine growth
morison coefficients
motion trajectory
mussels
n/a
numerical analysis
numerical simulation
one-way approach
one-way coupling
open water test
OpenFOAM
oscillatory flow
propeller
pump turbine
roughness
ship motion
starting-up
stress
structural analysis
system coupling
the Fourier series
time-varying
velocity cap
vibration excitation source
vortex-induced vibration
wet modal analysis
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557615203321
Semenov Yuriy  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui