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Advanced Intelligent Control through Versatile Intelligent Portable Platforms
Advanced Intelligent Control through Versatile Intelligent Portable Platforms
Autore Vladareanu Luige
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (322 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato Passive Brain Signals
adaptive automation and controller
EOG artifact
independent component analysis
engagement index
lower limb
rehabilitation robot
motion intention acquisition
static torque sensor
quadcopter
drone
pollutant
carbon
air monitoring
kernel
cyber-physical systems
intelligent cyber enterprise
systems interface
user experience
accessibility
autism spectrum disorder
game-based learning
systematic literature review
exoskeleton hand
fractional order model
control
human–robot interaction
training task
multi-sensor system
quantum particle swarm optimization
support vector machines
microinjection sensor
PDMS capillary
micro-wire
picolitre volume measurement
MPWM microfluidic transport
β-Ga2O3
nanowires
oxidation
silver catalyst
electrical conductivity
photodetector
automatic distortion rectification
wide-angle lens
fish-eye lens
advanced driver-assistance system (ADAS)
video-surveillance
vision tasks
connected bike
smart technologies
IoT
personalized training
embedded
back-end
front-end
Android
modules
MQTT
monitoring
3D scanning
3D shape reconstruction
RGB-D sensors
imperfect data
hybrid neural networks
computer vision
deep learning
convolutional neural networks
advanced intelligent control
facial emotion recognition
face recognition
NAO robot
critical infrastructures
positioning system
optical measurements
fiducial markers
adaptive kalman
measurement fusion
software sensor data
machine-learning classifier
smartphone security
intelligent control
robot control intelligent sensor systems
intelligent decision support systems
versatile intelligent portable platforms
new technologies
adaptive sensor networks
virtual and augmented reality
intelligent remote control and communication
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557530303321
Vladareanu Luige  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Signal Processing in Wearable Sensors for Health Monitoring
Advanced Signal Processing in Wearable Sensors for Health Monitoring
Autore Abbod Maysam
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (206 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato automated dietary monitoring
eating detection
eating timing error analysis
biomedical signal processing
smart eyeglasses
wearable health monitoring
artificial neural network
joint moment prediction
extreme learning machine
Hill muscle model
online input variables
Review
ECG
Signal Processing
Machine Learning
Cardiovascular Disease
Anomaly Detection
photoplethysmography
motion artifact
independent component analysis
multi-wavelength
continuous arterial blood pressure
systolic blood pressure
diastolic blood pressure
deep convolutional autoencoder
genetic algorithm
electrocardiography
vectorcardiography
myocardial infarction
long short-term memory
spline
multilayer perceptron
pain detection
stress detection
wearable sensor
physiological signals
behavioral signals
non-invasive system
hemodynamics
arterial blood pressure
central venous pressure
pulmonary arterial pressure
intracranial pressure
heart rate measurement
remote HR
remote PPG
remote BCG
blind source separation
drowsiness detection
EEG
frequency-domain features
multicriteria optimization
machine learning
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566462503321
Abbod Maysam  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Information Theory in Neuroscience
Information Theory in Neuroscience
Autore Piasini Eugenio
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (280 p.)
Soggetto non controllato synergy
Gibbs measures
categorical perception
entorhinal cortex
neural network
perceived similarity
graph theoretical analysis
orderness
navigation
network eigen-entropy
Ising model
higher-order correlations
discrimination
information theory
recursion
goodness
consciousness
neuroscience
feedforward networks
spike train statistics
decoding
eigenvector centrality
discrete Markov chains
submodularity
free-energy principle
infomax principle
neural information propagation
integrated information
mismatched decoding
maximum entropy principle
perceptual magnet
graph theory
internal model hypothesis
channel capacity
complex networks
representation
latching
noise correlations
independent component analysis
mutual information decomposition
connectome
redundancy
mutual information
information entropy production
unconscious inference
hippocampus
neural population coding
spike-time precision
neural coding
maximum entropy
neural code
Potts model
pulse-gating
functional connectome
integrated information theory
minimum information partition
brain network
Queyranne’s algorithm
principal component analysis
ISBN 3-03897-665-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346856603321
Piasini Eugenio  
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
Multispectral and Hyperspectral Remote Sensing Data for Mineral Exploration and Environmental Monitoring of Mined Areas
Multispectral and Hyperspectral Remote Sensing Data for Mineral Exploration and Environmental Monitoring of Mined Areas
Autore Pour Amin Beiranvand
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (416 p.)
Soggetto topico Research & information: general
Geography
Soggetto non controllato Toroud–Chahshirin Magmatic Belt (TCMB)
remote sensing
ASTER
hydrothermally altered zones
polymetallic vein-type mineralization
emissivity
emissivity normalization method
dolomite
phosphorite
relative band depth (RBD)
Bowers Terrane
listvenite
hydrothermal/metasomatic alteration minerals
damage zones
Northern Victoria Land
Antarctica
multispectral and radar data
data fusion
gold mineralization
Wadi Beitan–Wadi Rahaba
structural control
Najd Fault System
South Eastern Desert
Egypt
hyperspectral
Goldstrike
Carlin-type
decarbonatization
argillization
Advanced Space borne Thermal Emission and Reflection Radiometer (ASTER)
Sentinel 2
Synthetic Aperture Radar (SAR) data
Egyptian Eastern Desert
transpression and transtension zones
Landsat-8
WorldView-3
the Inglefield Mobile Belt (IMB)
copper-gold mineralization
High Arctic regions
epithermal gold
hydrothermal alteration
Ahar-Arasbaran region
Landsat-7 ETM+
Bayesian Network Classifiers
hyperspectral imaging
drill-core
SWIR
mineral abundance mapping
mineral association
machine learning
band ratios
principal component analysis (PCA)
fuzzy logic modeling
Kashmar–Kerman tectonic zone (KKTZ)
carbonate-hosted Pb-Zn mineralization
Iran
dimensionality reduction
principal component analysis
independent component analysis
minimum noise fraction
fuzzy logic
riverbed
metals
electrical resistivity imaging
tailings
Mar Menor
Cartagena–La Unión
unmanned aerial systems
multispectral
magnetic
geologic mapping
drones
UAV
dust dispersion
spectra
canopy scale
pixel scale
mining area
mineral exploration
multispectral and hyperspectral data
mining
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557499703321
Pour Amin Beiranvand  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui