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Overcoming Data Scarcity in Earth Science
Overcoming Data Scarcity in Earth Science
Autore Etcheverry Venturini Lorena
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (94 p.)
Soggetto non controllato geophysical monitoring
data scarcity
missing data
climate extreme indices (CEIs)
rule extraction
Dataset Licensedatabase
data assimilation
data imputation
support vector machines
environmental observations
multi-class classification
earth-science data
remote sensing
magnetotelluric monitoring
soil texture calculator
machine learning
ClimPACT
invasive species
species distribution modeling
3D-Var
ensemble learning
data quality
water quality
microhabitat
k-Nearest Neighbors
Expert Team on Climate Change Detection and Indices (ETCCDI)
decision trees
processing
attribute reduction
Expert Team on Sector-specific Climate Indices (ET-SCI)
core attribute
rough set theory
GLDAS
arthropod vector
environmental modeling
statistical methods
ISBN 3-03928-211-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910404080803321
Etcheverry Venturini Lorena  
MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Present and Future of Gravitational Wave Astronomy
Present and Future of Gravitational Wave Astronomy
Autore Vajente Gabriele
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (428 p.)
Soggetto topico Research & information: general
Physics
Soggetto non controllato LIGO
Virgo
KAGRA
gravitational waves
detector characterization
data quality
noise mitigation
seismic noise
Newtonian noise
seismic isolation system
noise subtraction
DECIGO
thermal noise
quantum noise
diffraction loss
interferometers
ground based gravitational-wave detector
Advanced Virgo
gravitational-wave backgrounds
stochastic gravitational-wave backgrounds
stochastic searches of gravitational waves
gravitational-wave laser interferometers
pulsar timing arrays
gravitational wave detectors
optomechanics
low-noise high-power laser interferometry
calibration
interferometer
gravitational wave
astrophysics
laser metrology
squeezed states
quantum optics
gravitational wave detector
laser interferometer
cryogenics
underground
einstein telescope
newtonian noise
coating noise
silicon
suspensions
payload
cryostat
core-collapse supernova
future detectors
continuous gravitational waves
neutron stars
dark matter
gravitational-wave astrophysics
stars
black holes
stellar evolution
binary stars
stellar dynamics
laser interferometers
ISBN 3-0365-5226-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910619468803321
Vajente Gabriele  
MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistical Data Modeling and Machine Learning with Applications
Statistical Data Modeling and Machine Learning with Applications
Autore Gocheva-Ilieva Snezhana
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (184 p.)
Soggetto topico Information technology industries
Soggetto non controllato mathematical competency
assessment
machine learning
classification and regression tree
CART ensembles and bagging
ensemble model
multivariate adaptive regression splines
cross-validation
dam inflow prediction
long short-term memory
wavelet transform
input predictor selection
hyper-parameter optimization
brain-computer interface
EEG motor imagery
CNN-LSTM architectures
real-time motion imagery recognition
artificial neural networks
banking
hedonic prices
housing
quantile regression
data quality
citizen science
consensus models
clustering
Gower's interpolation formula
Gower's metric
mixed data
multidimensional scaling
classification
data-adaptive kernel functions
image data
multi-category classifier
predictive models
support vector machine
stochastic gradient descent
damped Newton
convexity
METABRIC dataset
breast cancer subtyping
deep forest
multi-omics data
categorical data
similarity
feature selection
kernel density estimation
non-linear optimization
kernel clustering
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557359003321
Gocheva-Ilieva Snezhana  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Trustworthiness in Mobile Cyber Physical Systems
Trustworthiness in Mobile Cyber Physical Systems
Autore Kang Kyungtae
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (190 p.)
Soggetto topico Technology: general issues
Soggetto non controllato AUTOSAR
DAG
runnable scheduling
control-scheduling codesign
lagrange multiplier
Mobile Cyber-Physical Systems (MCPS)
industry
Mobile Sink Groups (MSG)
group mobility
real-time data delivery
Intelligent Transportation System (ITS)
deep neural network
Red Light Runner (RLR)
dynamic signal control
intersection safety
mixed-criticality
power-aware
real-time scheduling
DVFS
security taxonomies
event-based systems
mobile cyber physical systems
security flaws
searchable encryption
PEKS
forward privacy
trusted execution environment
SGX
data quality
large-scale
high-dimensionality
linear discriminant analysis
random projection
bootstrapping
controller area network bus
authentication
authenticity
resiliency
sustainability
formal verification
model checking
in-vehicle network
model compression
adversarial robustness
weight pruning
adversarial training
distillation
embedded system
secure AI
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557531703321
Kang Kyungtae  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui