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Advanced Approaches, Business Models, and Novel Techniques for Management and Control of Smart Grids
Advanced Approaches, Business Models, and Novel Techniques for Management and Control of Smart Grids
Autore Siano Pierluigi
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (210 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato activity detection
activity prediction
activity recognition
anti-islanding
black-box modeling
communication system delay
demand-side management
digital microgrid
Dijkstra algorithm
distributed energy resources
distributed generation
distributed generations
earth fault location
energy and comfort management
energy management system
energy storage
fractal design
fractal grid
frequency stability
holistic power system architecture
integer linear programming
intrinsic mode functions (IMFs)
islanded mode
Islanding detection
large-scale
LINK-paradigm
load frequency control
local electricity market
low-voltage active distribution network
market design
microgrid
modern power system
n/a
negative sequence current
non-homogeneous model
online identification
phasor measurement units (PMUs)
power grid
power system oscillations
Prony method
protection
recursive damped least squares
routing energy
sequence components
smart building
smart grid
stability
synchronization
uncertainty
virtual inertia
wide-area measurement system (WAMS)
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557685503321
Siano Pierluigi  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Data Science and Knowledge Discovery
Data Science and Knowledge Discovery
Autore Portela Filipe
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (254 p.)
Soggetto topico Computer science
Information technology industries
Soggetto non controllato activity recognition
adaptation process
ArcGIS
artificial intelligence
attribution
authorship
automation
big data
Big Data
box-counting framework
chatbots
classification
content base image retrieval
COVID-19
crisis reporting
customer relationship management (CRM)
dashboard
data analysis
data analytics
data augmentation
data mining
data science
databases
decision systems
deep features
deep learning
digital humanities
digital infrastructures
distracted driving
driving behavior
driving operation area
e-commerce
economic determinants of open data
ESP32 microcontroller
feature extraction
forensic intelligence
fractal dimension
geoinformation technology
governance and social institutions
humanities
ICT
information systems
interdisciplinary research
internet of things
ioCOVID19
journalists
linked open data
LoRaWAN
machine learning
media analytics
media criticism
multimedia document retrieval
n/a
neural networks
news media
open government data
prediction by partial matching
public health
rough sets
rule based systems
SARS-CoV-2
script Python
semantic information retrieval
smart homes
social sciences
spatio-temporal
territorial road network
text mining
textbook research
The Things Network
Web Intelligence
WebGIS
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910576878103321
Portela Filipe  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Deep Learning-Based Action Recognition
Deep Learning-Based Action Recognition
Autore Lee Hyo Jong
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (240 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato 3D skeletal
3D-CNN
action recognition
activity recognition
artificial intelligence
class regularization
class-specific features
CNN
continuous hand gesture recognition
convolutional receptive field
data augmentation
deep learning
dynamic gesture recognition
Dynamic Hand Gesture Recognition
embedded system
feature fusion
feedforward neural networks
fusion strategies
gesture classification
gesture spotting
graph convolution
hand gesture recognition
hand shape features
high-order feature
human action recognition
human activity recognition
human-computer interaction
human-machine interface
Long Short-Term Memory
multi-modal features
multi-modalities network
multi-person pose estimation
n/a
partition pose representation
partitioned centerpose network
pose estimation
real-time
spatio-temporal differential
spatio-temporal feature
spatio-temporal image formation
spatiotemporal activations
spatiotemporal feature
stacked hourglass network
transfer learning
ISBN 3-0365-5200-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910619465803321
Lee Hyo Jong  
MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Emotion and Stress Recognition Related Sensors and Machine Learning Technologies
Emotion and Stress Recognition Related Sensors and Machine Learning Technologies
Autore Kyamakya Kyandoghere
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (550 p.)
Soggetto topico Technology: general issues
Soggetto non controllato activity recognition
affective computing
affective corpus
aging adults
arousal
arousal detection
artificial intelligence
automatic facial emotion recognition
auxiliary loss
behavioral biometrical systems
benchmarking
boredom
center of pressure
class center
classification
cognitive load
computer science
convolutional neural network
convolutional neural networks
correlation statistics
data transformation
dataset
deep convolutional neural network
deep learning
deep neural network
dilated convolutions
driving stress
EEG
elderly caring
electrocardiogram
electrodermal activity
electrodermal activity (EDA)
electroencephalography
emotion
emotion classification
emotion elicitation
emotion monitoring
emotion recognition
emotion representation
expert evaluation
face landmark detection
facial detection
facial emotion recognition
facial expression recognition
facial landmarks
feature extraction
feature selection
flight simulation
frustration
fully convolutional DenseNets
GSR
head-mounted display
homography matrix
human-computer interaction
in-ear EEG
information fusion
infrared thermal imaging
intensity of emotion recognition
interest
long short-term memory recurrent neural networks
long-term stress
machine learning
mental stress detection
multimodal sensing
multimodal sensors
musical genres
n/a
normalization
outpatient caring
overload
pain recognition
perceived stress scale
physiological sensing
physiological signal processing
physiological signals
psychophysiology
quantitative analysis
regression
respiration
road traffic
road types
sensor
sensor data analysis
signal analysis
signal processing
similarity measures
skip-connections
smart band
smart insoles
smart shoes
socially assistive robot
stress
stress detection
stress recognition
stress research
stress sensing
subject-dependent emotion recognition
subject-independent emotion recognition
thoracic electrical bioimpedance
time series analysis
transfer learning
underload
unobtrusive sensing
valence detection
Viola-Jones
virtual reality
wearable sensors
weighted loss
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557346003321
Kyamakya Kyandoghere  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Human worker activity recognition in industrial environments
Human worker activity recognition in industrial environments
Autore Hartmann Bastian
Pubbl/distr/stampa KIT Scientific Publishing, 2011
Descrizione fisica 1 online resource (XII, 176 p. p.)
Soggetto topico Technology: general issues
Soggetto non controllato activity recognition
gesture recognition
human machine interface
inertial navigation
ISBN 1000022235
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910346906703321
Hartmann Bastian  
KIT Scientific Publishing, 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Machine Learning in Sensors and Imaging
Machine Learning in Sensors and Imaging
Autore Nam Hyoungsik
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (302 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato activity recognition
artificial neural network
BLDC
BP artificial neural network
burr formation
capacitive
chaotic system
color prior model
compressive sensing
computer vision
coniferous plantations
convex optimization
convolutional neural network
cut interruption
deep learning
display
electric machine protection
explainable artificial intelligence
extrinsic camera calibration
fiber laser
forest growing stem volume
fuzzy
image classification
image denoising
image encryption
imbalanced activities
intelligent vehicles
laser cutting
machine learning
machine learning-based classification
marine
maximum likelihood estimation
mixed Poisson-Gaussian likelihood
modulation transfer function
Naïve bayes
neural network
noisy
non-uniform foundation
object detection
obstacle avoidance
on-shelf availability
path planning
piston error detection
plaintext related
plankton
Q-learning
quality monitoring
random forest
real-world
red-edge band
reinforcement learning
risk assessment
robot arm
sampling methods
segmented telescope
semi-supervised
semi-supervised learning
SNR
star image
stochastic analysis
structure from motion
stylus
target reaching
temperature estimation
texture feature
touchscreen
transmission-line corridors
variable selection
vehicle-pavement-foundation interaction
wearable sensors
wildfire
YOLO algorithm
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566484703321
Nam Hyoungsik  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Recent Advances in Motion Analysis
Recent Advances in Motion Analysis
Autore Di Nardo Francesco
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (192 p.)
Soggetto topico Technology: general issues
Soggetto non controllato accelerometer
activation patterns
activity recognition
ankle kinematics
automatic detection of the FRP
automotive radar
back propagation
cerebral palsy
co-activation
coefficient of variation
cognitive engagement
deep learning
electrogoniometer
embedded systems
EMG sensors
estimation model
falls
flexion-relaxation phenomenon
gait variability
gait-event detection
gait-phase classification
hemiplegia
human activity recognition (HAR)
inertial sensor
Internet of Things (IoT)
knee
knee angle
Lie group
load cells
machine learning
motion analysis
motor disorders
neural networks
Parkinson's disease
performance
postural perturbations
principal component analysis
random forest
rate invariance
rowing
seated posture
sEMG
sensorized seat
signal processing
slips
statistical gait analysis
stress level
stretch-sensors
surface electromyography
surface EMG
technology
trips
walking
walking analysis
WBSN
wearable device
wearable sensors
wearables
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557900003321
Di Nardo Francesco  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Smart Sensing Technologies for Personalised Coaching
Smart Sensing Technologies for Personalised Coaching
Autore Banos Oresti
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (231 p.)
Soggetto topico Technology: general issues
Soggetto non controllato activities of daily living
activity recognition
affordance
animate objects
Bayesian network
behavior change
Bluetooth beacons
cadence
cardiac rehabilitation
coaching
context recognition
context-awareness
diabetes education
digital coaching
e-coaching
electric bicycles
elevation change analysis
fuzzy linguistic approach
fuzzy logic
health
healthy lifestyle
human activity recognition
human-centered computing
inertial sensors
m-health
m-health intervention
machine learning
marathon
mobile application
multimodal cueing
personalization
personalized assistance level
physical activity
real-time wearable monitoring
remote coaching
sedentary lifestyle
self-management
serious gaming
smart objects
smartphones
tangible user interface
telehealth
telemonitoring
ubiquitous computing
unhealthy sitting habits
user evaluations
wearable computing
wearable devices
wearable sensors
wrist-worn heart rate devices
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557388403321
Banos Oresti  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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