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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 electronic resource (374 p.)
Soggetto topico Information technology industries
Soggetto non controllato spatio-temporal
residual networks
bus traffic flow prediction
advance rate
shield performance
principal component analysis
ANFIS-GA
tunnel
online learning
extreme learning machine
cyclic dynamics
transfer learning
knowledge preservation
Feature Adaptive
optimization
Bacterial Foraging algorithm
Swarm Intelligence algorithm
Isolated Microgrid
traffic surveillance video
state analysis
Grassmann manifold
neural network
machine-learning
quality of life
Better Life Index
bagging
ensemble learning
pedestrian attributes
surveillance image
semantic attributes recognition
multi-label learning
large-scale database
traffic congestion detection
minimizing traffic congestion
traffic prediction
deep learning
urban mobility
ITS
Vehicle-to-Infrastructure
neural networks
LSTM
embeddings
trajectories
motion behavior
smart tourism
driver’s behavior detection
texting and driving
convolutional neural network
smart car
smart cities
smart infotainment
driver distraction
cameras
convolution
detection
image recognition
DSS
diabetes prediction
homecare assistance information system
muti-attribute analysis
artificial training dataset
machine learning
big data
data analysis
sensors
Internet of Things
vehicular networks
VDTN
routing
message scheduling
traffic flow prediction
wavenet
TrafficWave
RNN
GRU
SAEs
risk assessment
neural architecture search
recurrent neural network
automated driving vehicle
decision support system
artificial intelligence
disaster management
Smart city
program management
integrated model
smart city
intelligence transportation system
computer vision
potential pedestrian safety
data mining
healthcare
Apache Spark
disease detection
symptoms detection
Arabic language
Saudi dialect
Twitter
high performance computing (HPC)
spatial-temporal dependencies
traffic periodicity
graph convolutional network
traffic speed prediction
vehicular traffic
surveillance video
big data analysis
autonomous driving
life quality
pattern recognition
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
Artificial Intelligence-Based Learning Approaches for Remote Sensing
Artificial Intelligence-Based Learning Approaches for Remote Sensing
Autore Jeon Gwanggil
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (382 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Environmental science, engineering & technology
Soggetto non controllato pine wilt disease dataset
GIS application visualization
test-time augmentation
object detection
hard negative mining
video synthetic aperture radar (SAR)
moving target
shadow detection
deep learning
false alarms
missed detections
synthetic aperture radar (SAR)
on-board
ship detection
YOLOv5
lightweight detector
remote sensing image
spectral domain translation
generative adversarial network
paired translation
synthetic aperture radar
ship instance segmentation
global context modeling
boundary-aware box prediction
land-use and land-cover
built-up expansion
probability modelling
landscape fragmentation
machine learning
support vector machine
frequency ratio
fuzzy logic
artificial intelligence
remote sensing
interferometric phase filtering
sparse regularization (SR)
deep learning (DL)
neural convolutional network (CNN)
semantic segmentation
open data
building extraction
unet
deeplab
classifying-inversion method
AIS
atmospheric duct
ship detection and classification
rotated bounding box
attention
feature alignment
weather nowcasting
ResNeXt
radar data
spectral-spatial interaction network
spectral-spatial attention
pansharpening
UAV visual navigation
Siamese network
multi-order feature
MIoU
imbalanced data classification
data over-sampling
graph convolutional network
semi-supervised learning
troposcatter
tropospheric turbulence
intercity co-channel interference
concrete bridge
visual inspection
defect
deep convolutional neural network
transfer learning
interpretation techniques
weakly supervised semantic segmentation
ISBN 3-0365-6084-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910639984703321
Jeon Gwanggil  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
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 electronic resource (198 p.)
Soggetto topico Information technology industries
Soggetto non controllato facial image analysis
facial nerve paralysis
deep convolutional neural networks
image classification
Chinese text classification
long short-term memory
convolutional neural network
Arabic named entity recognition
bidirectional recurrent neural network
GRU
LSTM
natural language processing
word embedding
CNN
object detection network
attention mechanism
feature fusion
LSTM-CRF model
elements recognition
linguistic features
POS syntactic rules
action recognition
fused features
3D convolution neural network
motion map
long short-term-memory
tooth-marked tongue
gradient-weighted class activation maps
ship identification
fully convolutional network
embedded deep learning
scalability
gesture recognition
human computer interaction
alternative fusion neural network
deep learning
sentiment attention mechanism
bidirectional gated recurrent unit
Internet of Things
convolutional neural networks
graph partitioning
distributed systems
resource-efficient inference
pedestrian attribute recognition
graph convolutional network
multi-label learning
autoencoders
long-short-term memory networks
convolution neural Networks
object recognition
sentiment analysis
text recognition
IoT (Internet of Thing) systems
medical applications
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