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Artificial Intelligence Applications to Smart City and Smart Enterprise
Artificial Intelligence Applications to Smart City and Smart Enterprise
Autore Impedovo Donato
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (374 p.)
Soggetto topico Information technology industries
Soggetto non controllato advance rate
ANFIS-GA
Apache Spark
Arabic language
artificial intelligence
artificial training dataset
automated driving vehicle
autonomous driving
Bacterial Foraging algorithm
bagging
Better Life Index
big data
big data analysis
bus traffic flow prediction
cameras
computer vision
convolution
convolutional neural network
cyclic dynamics
data analysis
data mining
decision support system
deep learning
detection
diabetes prediction
disaster management
disease detection
driver distraction
driver's behavior detection
DSS
embeddings
ensemble learning
extreme learning machine
Feature Adaptive
graph convolutional network
Grassmann manifold
GRU
healthcare
high performance computing (HPC)
homecare assistance information system
image recognition
integrated model
intelligence transportation system
Internet of Things
Isolated Microgrid
ITS
knowledge preservation
large-scale database
life quality
LSTM
machine learning
machine-learning
message scheduling
minimizing traffic congestion
motion behavior
multi-label learning
muti-attribute analysis
neural architecture search
neural network
neural networks
online learning
optimization
pattern recognition
pedestrian attributes
potential pedestrian safety
principal component analysis
program management
quality of life
recurrent neural network
residual networks
risk assessment
RNN
routing
SAEs
Saudi dialect
semantic attributes recognition
sensors
shield performance
smart car
smart cities
smart city
Smart city
smart infotainment
smart tourism
spatial-temporal dependencies
spatio-temporal
state analysis
surveillance image
surveillance video
Swarm Intelligence algorithm
symptoms detection
texting and driving
traffic congestion detection
traffic flow prediction
traffic periodicity
traffic prediction
traffic speed prediction
traffic surveillance video
TrafficWave
trajectories
transfer learning
tunnel
Twitter
urban mobility
VDTN
Vehicle-to-Infrastructure
vehicular networks
vehicular traffic
wavenet
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557295703321
Impedovo Donato  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Energy Data Analytics for Smart Meter Data
Energy Data Analytics for Smart Meter Data
Autore Reinhardt Andreas
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (346 p.)
Soggetto topico Technology: general issues
Soggetto non controllato activation current
ambient influences
appliance load signatures
appliance recognition
attention mechanism
convolutional neural network
Convolutional Neural Network
data annotation
data privacy
data-driven approaches
deep learning
deep neural network
deep neural networks
device classification accuracy
distance similarity matrix
electric load simulation
electric vehicle
electrical energy
electricity theft detection
energy consumption
energy data analytics
energy data processing
energy disaggregation
ethics
exponential distribution
fryze power theory
Gaussian mixture models
GDPR
K-means cluster
load disaggregation
load scheduling
machine learning
mathematical modeling
multi-label learning
n/a
NILM
NILM datasets
non-intrusive load monitoring
Non-intrusive Load Monitoring
Non-Intrusive Load Monitoring (NILM)
nontechnical losses
Poisson distribution
power consumption data
power signature
pulse generator
random forest
real-time
review
satisfaction
semi-automatic labeling
Shapley Value
signature
simulation
smart energy system
smart grid
smart grids
smart meter
smart meter data
smart metering
smart meters
smart power grids
solar photovoltaics
synthetic data
synthetic minority oversampling technique
text convolutional neural networks (TextCNN)
time-series classification
transient load signature
transients
user-centric applications of energy data
V-I trajectory
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557645803321
Reinhardt Andreas  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Innovative Topologies and Algorithms for Neural Networks
Innovative Topologies and Algorithms for Neural Networks
Autore Xibilia Maria Gabriella
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (198 p.)
Soggetto topico Information technology industries
Soggetto non controllato 3D convolution neural network
action recognition
alternative fusion neural network
Arabic named entity recognition
attention mechanism
autoencoders
bidirectional gated recurrent unit
bidirectional recurrent neural network
Chinese text classification
CNN
convolution neural Networks
convolutional neural network
convolutional neural networks
deep convolutional neural networks
deep learning
distributed systems
elements recognition
embedded deep learning
facial image analysis
facial nerve paralysis
feature fusion
fully convolutional network
fused features
gesture recognition
gradient-weighted class activation maps
graph convolutional network
graph partitioning
GRU
human computer interaction
image classification
Internet of Things
IoT (Internet of Thing) systems
linguistic features
long short-term memory
long short-term-memory
long-short-term memory networks
LSTM
LSTM-CRF model
medical applications
motion map
multi-label learning
natural language processing
object detection network
object recognition
pedestrian attribute recognition
POS syntactic rules
resource-efficient inference
scalability
sentiment analysis
sentiment attention mechanism
ship identification
text recognition
tooth-marked tongue
word embedding
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557553903321
Xibilia Maria Gabriella  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui