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Computational Mathematics, Algorithms, and Data Processing
Computational Mathematics, Algorithms, and Data Processing
Autore Mortari Daniele
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (172 p.)
Soggetto topico Research & information: general
Mathematics & science
Soggetto non controllato interpolation
constraints
embedded constraints
generalized multiscale finite element method
multiscale model reduction
deep learning
Deep Neural Nets
ReLU Networks
Approximation Theory
radial basis functions
native spaces
truncated function
approximation
surface modeling
second order initial value problems
linear multistep methods
Obrechkoff schemes
trigonometrically fitted
Darcy-Forchheimer model
flow in porous media
nonlinear equation
heterogeneous media
finite element method
multiscale method
mixed generalized multiscale finite element method
multiscale basis functions
two-dimensional domain
Thiele-like rational interpolation continued fractions with parameters
unattainable point
inverse difference
virtual point
polynomial chaos
Szegő polynomials
directional statistics
Rogers-Szegő
state estimation
clustering
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557304403321
Mortari Daniele  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Computational Methods for Medical and Cyber Security
Computational Methods for Medical and Cyber Security
Autore Luo Suhuai
Pubbl/distr/stampa Basel, : MDPI Books, 2022
Descrizione fisica 1 electronic resource (228 p.)
Soggetto non controllato fintech
financial technology
blockchain
deep learning
regtech
environment
social sciences
machine learning
learning analytics
student field forecasting
imbalanced datasets
explainable machine learning
intelligent tutoring system
adversarial machine learning
transfer learning
cognitive bias
stock market
behavioural finance
investor’s profile
Teheran Stock Exchange
unsupervised learning
clustering
big data frameworks
fault tolerance
stream processing systems
distributed frameworks
Spark
Hadoop
Storm
Samza
Flink
comparative analysis
a survey
data science
educational data mining
supervised learning
secondary education
academic performance
text-to-SQL
natural language processing
database
machine translation
medical image segmentation
convolutional neural networks
SE block
U-net
DeepLabV3plus
cyber-security
medical services
cyber-attacks
data communication
distributed ledger
identity management
RAFT
HL7
electronic health record
Hyperledger Composer
cybersecurity
password security
browser security
social media
ANOVA
SPSS
internet of things
cloud computing
computational models
metaheuristics
phishing detection
website phishing
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910595066903321
Luo Suhuai  
Basel, : MDPI Books, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Computational Methods for Risk Management in Economics and Finance
Computational Methods for Risk Management in Economics and Finance
Autore Resta Marina
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (234 p.)
Soggetto non controllato growth optimal portfolio
Wishart model
conditional Value-at-Risk (CoVaR)
systemic risk
utility functions
current drawdown
risk measure
risk-based portfolios
capital market pricing model
systemic risk measures
Big Data
International Financial Reporting Standard 9
cartography
stock prices
copula models
CoVaR
quantitative risk management
auto-regressive
fractional Kelly allocation
independence assumption
deep learning
structural models
financial regulation
data science
efficient frontier
weighted logistic regression
estimation error
financial markets
capital allocation
multi-step ahead forecasts
target matrix
value at risk
random matrices
credit risk
portfolio theory
convex programming
admissible convex risk measures
non-stationarity
financial mathematics
quantile regression
Markowitz portfolio theory
shrinkage
loss given default
ordered probit
ISBN 3-03928-499-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910404091803321
Resta Marina  
MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Computational Methods for the Analysis of Genomic Data and Biological Processes
Computational Methods for the Analysis of Genomic Data and Biological Processes
Autore Gómez Vela Francisco A
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (222 p.)
Soggetto topico Research & information: general
Biology, life sciences
Soggetto non controllato HIGD2A
cancer
DNA methylation
mRNA expression
miRNA
quercetin
hypoxia
eQTL
CRISPR-Cas9
single-cell clone
fine-mapping
power
RNA N6-methyladenosine site
yeast genome
methylation
computational biology
deep learning
bioinformatics
hepatocellular carcinoma
transcriptomics
proteomics
bioinformatics analysis
differentiation
Gene Ontology
Reactome Pathways
gene-set enrichment
meta-analysis
transcription factor
binding sites
genomics
chilling stress
CBF
DREB
CAMTA1
pathway
text mining
infiltration tactics optimization algorithm
classification
clustering
microarray
ensembles
machine learning
infiltration
computational intelligence
gene co-expression network
murine coronavirus
viral infection
immune response
data mining
systems biology
obesity
differential genes expression
exercise
high-fat diet
pathways
potential therapeutic targets
DNA N6-methyladenine
Chou's 5-steps rule
Convolution Neural Network (CNN)
Long Short-Term Memory (LSTM)
machine-learning
chromatin interactions
prediction
genome architecture
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557129603321
Gómez Vela Francisco A  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Computational Optimizations for Machine Learning
Computational Optimizations for Machine Learning
Autore Gabbay Freddy
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (276 p.)
Soggetto topico Research & information: general
Mathematics & science
Soggetto non controllato ARIMA model
time series analysis
online optimization
online model selection
precipitation nowcasting
deep learning
autoencoders
radar data
generalization error
recurrent neural networks
machine learning
model predictive control
nonlinear systems
neural networks
low power
quantization
CNN architecture
multi-objective optimization
genetic algorithms
evolutionary computation
swarm intelligence
Heating, Ventilation and Air Conditioning (HVAC)
metaheuristics search
bio-inspired algorithms
smart building
soft computing
training
evolution of weights
artificial intelligence
deep neural networks
convolutional neural network
deep compression
DNN
ReLU
floating-point numbers
hardware acceleration
energy dissipation
FLOW-3D
hydraulic jumps
bed roughness
sensitivity analysis
feature selection
evolutionary algorithms
nature inspired algorithms
meta-heuristic optimization
computational intelligence
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557610303321
Gabbay Freddy  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Contemporary Natural Philosophy and Philosophies - Part 2
Contemporary Natural Philosophy and Philosophies - Part 2
Autore Dodig-Crnkovic Gordana
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (196 p.)
Soggetto topico Philosophy
Soggetto non controllato Number world
spurious law
emergent law
dialectics
epistemon
information
logic in reality
natural philosophy
ontolon
semiotics
ontology
BFO
tropes
applied philosophy
thought-experiment
libero arbitrio
freedom of will
knowledge synthesis
epistemology
breakthrough knowledge
domain-specific knowledge
web-based search
grounded theory
Bradford Hill criteria
association
causation
mediation
naturalistic epistemology
knowledge how
knowledge that
anti-intellectualism
intellectualism
practical grasp
cognitive science
physical information
abstract information
physical phenomena
abstract entities
learning
learning to learn
deep learning
information processing
natural computing
morphological computing
info-computation
connectionism
symbolism
cognition
robotics
artificial intelligence
contemporary natural philosophy
idola mentis
scientific methodology
quantitative and qualitative methods
structural analysis
abstraction
complexity
knowledge
naturalism
slips
basic activities
philosophy of nature
unity of knowledge
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557284603321
Dodig-Crnkovic Gordana  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Convergence of Intelligent Data Acquisition and Advanced Computing Systems
Convergence of Intelligent Data Acquisition and Advanced Computing Systems
Autore Stamatescu Grigore
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (189 p.)
Soggetto topico Technology: general issues
Energy industries & utilities
Soggetto non controllato automotive
current
electric power train
electric vehicle
embedded systems
delay
detection
distributed systems
measurements
power train
sensor
signals
time delay estimation
unmanned aerial vehicles
wireless sensor networks
intelligent data processing
trajectory planning
relevant data extraction
data consensus
Internet of Things
precision agriculture
system identification
smart building
artificial neural network
energy efficiency
black box modeling
educational robotics
data acquisition
sensors
ROS
STEM
CNN (Convolutional neural networks)
deep learning
pavement defects
residual connection
attention gate
atrous spatial pyramid pooling
intelligent charging
demand response
linear programming
optimization
smart parking
smart grid
ODE Solver
OpenCL
Parareal
parallel/multi-core computing
sensing systems
heterogenous embedded systems
deep sparse auto-encoders
medical diagnosis
linear model
data classification
PSO algorithm
safety-related system
component
FPGA-designing
logical and power-oriented checkability
hidden faults
clock signal
consumed and dissipated power
temperature and current consumption sensors
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557333503321
Stamatescu Grigore  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Current Approaches and Applications in Natural Language Processing
Current Approaches and Applications in Natural Language Processing
Autore Montejo-Ráez Arturo
Pubbl/distr/stampa Basel, : MDPI Books, 2022
Descrizione fisica 1 electronic resource (476 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato natural language processing
distributional semantics
machine learning
language model
word embeddings
machine translation
sentiment analysis
quality estimation
neural machine translation
pretrained language model
multilingual pre-trained language model
WMT
neural networks
recurrent neural networks
named entity recognition
multi-modal dataset
Wikimedia Commons
multi-modal language model
concreteness
curriculum learning
electronic health records
clinical text
relationship extraction
text classification
linguistic corpus
deception
linguistic cues
statistical analysis
discriminant function analysis
fake news detection
stance detection
social media
abstractive summarization
monolingual models
multilingual models
transformer models
transfer learning
discourse analysis
problem-solution pattern
automatic classification
machine learning classifiers
deep neural networks
question answering
machine reading comprehension
query expansion
information retrieval
multinomial naive bayes
relevance feedback
cause-effect relation
transitive closure
word co-occurrence
automatic hate speech detection
multisource feature extraction
Latin American Spanish language models
fine-grained named entity recognition
k-stacked feature fusion
dual-stacked output
unbalanced data problem
document representation
semantic analysis
conceptual modeling
universal representation
trend analysis
topic modeling
Bert
geospatial data technology and application
attention model
dual multi-head attention
inter-information relationship
question difficult estimation
named-entity recognition
BERT model
conditional random field
pre-trained model
fine-tuning
feature fusion
attention mechanism
task-oriented dialogue systems
Arabic
multi-lingual transformer model
mT5
language marker
mental disorder
deep learning
LIWC
spaCy
RobBERT
fastText
LIME
conversational AI
intent detection
slot filling
retrieval-based question answering
query generation
entity linking
knowledge graph
entity embedding
global model
DISC model
personality recognition
predictive model
text analysis
data privacy
federated learning
transformer
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910595079903321
Montejo-Ráez Arturo  
Basel, : MDPI Books, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Cyber Security of Critical Infrastructures
Cyber Security of Critical Infrastructures
Autore Maglaras Leandros
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (316 p.)
Soggetto topico Technology: general issues
Soggetto non controllato crypto-ransomware
locker-ransomware
static analysis
dynamic analysis
machine learning
assessment framework
cybersecurity
GDPR
PCI-DSS
DSPT
NISD
cyber-ranges
security training
security modelling
serious games
dynamic adaptation
training programmes
computers in education
bloom
STRIDE
smart shipping
military
VMF
hash chain
T-OTP
lightweight secure hash (LSH)
CNR
web application
security vulnerability
analysis security testing
static analysis security testing
dynamic analysis security testing
interactive analysis security testing
assessment methodology
false positive
false negative
tools combination
deep learning
image classification
transfer learning
industrial control system
fine-tuning
testbeds
cyber ranges
cyber exercises
education
training
research
lattice cryptography
code cryptography
post quantum cryptography
physical unclonable function
public key infrastructure
high performance computing
malware analysis
static malware analysis
dynamic malware analysis
malware classification
random forest
support vector machines
smart grid
risk assessment
threat modeling
formal verification
probabilistic model checking
cloud robotics
image face recognition
deep learning algorithms
security
encryption algorithms
cybercrime
Hasse diagram
interval-valued complex intuitionistic fuzzy relations
interval-valued complex intuitionistic fuzzy sets
offensive cybersecurity
cyber-attacks
scoring model
offensive cybersecurity framework
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557336503321
Maglaras Leandros  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data Analytics and Applications of the Wearable Sensors in Healthcare
Data Analytics and Applications of the Wearable Sensors in Healthcare
Autore Syed Abdul Shabbir
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (498 p.)
Soggetto topico Humanities
Social interaction
Soggetto non controllato eHealth
wearable
monitoring
services
integration
IoT
Telemedicine
wearable sensors
multivariate analysis
longitudinal study
functional decline
exercise intervention
accidental falls
fall detection
real-world
signal analysis
performance measures
non-wearable sensors
accelerometers
cameras
machine learning
smart textiles
healthcare
talking detection
activity recognition and monitoring
patient health and state monitoring
wearable sensing
orientation-invariant sensing
motion sensors
accelerometer
gyroscope
magnetometer
pattern classification
artificial intelligence
supervised machine learning
predictive analytics
hemodialysis
non-contact sensor
heart rate
respiration rate
heart rate variability
time-domain features
frequency-domain features
principal component analysis
behaviour analysis
classifier efficiency
personal risk detection
one-class classification
actigraphy
encoding
data compression
denoising
edge computing
signal processing
wearables
activity monitoring
citizen science
cluster analysis
physical activity
sedentary behavior
walking
energy expenditure
wearable device
impedance pneumography
neural network
mechanocardiogram (MCG)
smart clothes
heart failure (HF)
left ventricular ejection fraction (LVEF)
technology acceptance model (TAM)
physical activity classification
free-living
GENEactiv accelerometer
Gaussian mixture model
hidden Markov model
wavelets
skill assessment
deep learning
LSTM
state space model
probabilistic inference
latent features
human activity recognition
MIMU
genetic algorithm
feature selection
classifier optimization
bispectrum
entropy
feature extraction
heat stroke
filtering algorithm
physiological parameters
exercise experiment
biomedical signal processing
wearable biomedical sensors
wireless sensor network
respiratory monitoring
optoelectronic plethysmography
biofeedback
biomedical technology
exercise therapy
orthopedics
mobile health
qualitative
human factors
inertial measurement unit
disease prevention
occupational healthcare
P-Ergonomics
precision ergonomics
musculoskeletal disorders
wellbeing at work
electrocardiogram
conductive gels
noncontact electrode
myocardial ischemia
pacemaker
ventricular premature contraction
upper extremity
motion
action research arm test
activities of daily living
IoT wearable monitor
health
posture analysis
spinal posture
wearable sensor
embedded system
recurrent neural networks
physical workload
wearable systems for healthcare
machine learning for real-time applications
actigraph
body worn sensors
clothing sensors
cross correlation analysis
healthcare movement sensing
wearable devices
calibration
inertial measurement units
human movement
physical activity type
real-life
GPS
GIS
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557288603321
Syed Abdul Shabbir  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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