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.
AI Applications to Power Systems
AI Applications to Power Systems
Autore Tjing Lie Tek
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (156 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato artificial neural networks
automatic P2P energy trading
cellular computational networks
change detection
contingency
data analytics
data mining
deep Q-network
deep reinforcement learning
dynamic mode decomposition
event detection
feature extraction
filtering
fuzzy system
inter-area oscillations
load flow prediction
long short-term delayed reward
machine learning
machine-learning
manta ray foraging optimization algorithm
Markov decision process
modal analysis
multi-objective function
n/a
optimal power flow
optimization
optimization techniques
power quality
radial networks
reduced order modeling
self-healing grid
signal processing
situation awareness
steady-state security assessment
total variation smoothing
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566478903321
Tjing Lie Tek  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Sensor Systems for Gesture Recognition II
Sensor Systems for Gesture Recognition II
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2023
Descrizione fisica 1 online resource (254 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato abnormal gait behavior
adaptive interactive game
artificial neural network
background clutter
biomedical engineering
computer vision
data glove
dataset
deep learning
deep Q-network
electromyography
emotion driven
emotion judgment system
ensemble learning
extreme learning machine
football
force myography
forearm amputee
frequency emphasis
general movements
gloss prediction
grasshopper optimization algorithm
hand gesture recognition
hand posture
horse locomotion
human activity recognition
human-computer interactive
IMU
inertial measurement unit
inertial measurement units
infant movement analysis
k-tournament selection
machine learning
MARG
markerless
MIMU
motion analysis
movement disorders
multi-modal
OpenPose
orientation algorithm benchmarking
orientation estimation
pattern recognition
pose estimation
pose-based approach
random forest
reinforcement learning
RGB-D
sensor
sensor fusion algorithm
set of optimal signal features
Siamese tracker
sign language recognition
sports technology
surface electromyography
surgical education
surgical skills assessment
test
tracking drift
training effect
trajectory reconstruction
transformer
virtual hand
visual feedback training
visual tracking
XGBoost
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910743280103321
MDPI - Multidisciplinary Digital Publishing Institute, 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui