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Advances in Smart Vehicular Technology, Transportation, Communication and Applications : Proceedings of VTCA 2021
Advances in Smart Vehicular Technology, Transportation, Communication and Applications : Proceedings of VTCA 2021
Autore Wu Tsu-Yang
Pubbl/distr/stampa Singapore : , : Springer Singapore Pte. Limited, , 2022
Descrizione fisica 1 online resource (408 pages)
Altri autori (Persone) NiShaoquan
ChuShu-Chuan
ChenChi-Hua
FavorskayaMargarita
Collana Smart Innovation, Systems and Technologies Ser.
Soggetto genere / forma Electronic books.
ISBN 9789811640391
9789811640384
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910510544103321
Wu Tsu-Yang  
Singapore : , : Springer Singapore Pte. Limited, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Applications of Internet of Things
Applications of Internet of Things
Autore Chen Chi-Hua
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (162 p.)
Soggetto topico Technology: general issues
Soggetto non controllato urban traffic
grey relational membership degree
traffic congestion judgment
mobile positioning
commercial vehicle operation data
cellular network
cloud computing
location-based service
Internet of Things
distributed system architecture
intelligent transportation system
cellular networks
vehicle positioning
speed estimation
machine learning
road anomaly
avoidance
behavior recognition
smartphone
opportunistic sensing
anklet monitoring and tracking
detection algorithms
geoprocessing
Law Enforcement Telecommunications Systems (LETS)
sensor data fusion
camera coverage estimation
multistage grid subdivision
line of sight
viewshed analysis
obstacle
k-anonymity
location-based services
location privacy
the credible chain
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557585403321
Chen Chi-Hua  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Deep Learning Applications with Practical Measured Results in Electronics Industries
Deep Learning Applications with Practical Measured Results in Electronics Industries
Autore Kung Hsu-Yang
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 electronic resource (272 p.)
Soggetto non controllato faster region-based CNN
visual tracking
intelligent tire manufacturing
eye-tracking device
neural networks
A*
information measure
oral evaluation
GSA-BP
tire quality assessment
humidity sensor
rigid body kinematics
intelligent surveillance
residual networks
imaging confocal microscope
update mechanism
multiple linear regression
geometric errors correction
data partition
Imaging Confocal Microscope
image inpainting
lateral stage errors
dot grid target
K-means clustering
unsupervised learning
recommender system
underground mines
digital shearography
optimization techniques
saliency information
gated recurrent unit
multivariate time series forecasting
multivariate temporal convolutional network
foreign object
data fusion
update occasion
generative adversarial network
CNN
compressed sensing
background model
image compression
supervised learning
geometric errors
UAV
nonlinear optimization
reinforcement learning
convolutional network
neuro-fuzzy systems
deep learning
image restoration
neural audio caption
hyperspectral image classification
neighborhood noise reduction
GA
MCM uncertainty evaluation
binary classification
content reconstruction
kinematic modelling
long short-term memory
transfer learning
network layer contribution
instance segmentation
smart grid
unmanned aerial vehicle
forecasting
trajectory planning
discrete wavelet transform
machine learning
computational intelligence
tire bubble defects
offshore wind
multiple constraints
human computer interaction
Least Squares method
ISBN 3-03928-864-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910404080403321
Kung Hsu-Yang  
MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui