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.
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
Ubiquitous Technologies for Emotion Recognition
Ubiquitous Technologies for Emotion Recognition
Autore Banos Oresti
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (174 p.)
Soggetto topico Information technology industries
Soggetto non controllato self-management interview application
emotion analysis
facial recognition
image-mining
deep convolutional neural network
emotion recognition
pattern recognition
texture descriptors
mobile tool
neuromarketing
brain computer interface (BCI)
consumer preferences
EEG signal
deep learning
deep neural network (DNN)
electroencephalogram (EEG)
logistic regression
Gaussian kernel
Laplacian prior
affective computing
human–robot interaction
thermal IR imaging
social robots
facial expression analysis
line segment feature analysis
dimensionality reduction
convolutional recurrent neural network
driver health risk
intelligent speech signal processing
human computer interaction
supervised learning
computer vision
optical flow
micro facial expressions
real-time processing
driver stress state
IR imaging
machine learning
support vector machine (SVR)
advanced driver-assistance systems (ADAS)
artificial intelligence
image processing
video processing
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557366303321
Banos Oresti  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui