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New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes

Modern factories are experiencing rapid digital transformation supported by emerging technologies, such as the Industrial Internet of things (IIOT), industrial big data and cloud technologies, deep learning and deep analytics, AI, intelligent robotics, cyber-physical systems and digital twins, compl...

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Enregistré dans:
Auteurs principaux: Posada, Jorge, López de Lacalle, Luis Norberto
Format: Livro
Langue:Inglês
Publié: MDPI - Multidisciplinary Digital Publishing Institute 2020
Sujets:
TA1-2040
T55.4-60.8
T1-995
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
localization
smart system
n/a
connected enterprise
digital manufacturing
AHP
YOLOv3
decision support
neural network
vertex distance
depthwise separable convolution
cutting insert selection
smart service
contour detection
convolutional neural networks
platform-based ecosystem
in-line dimensional inspection
dilated convolutions
fabric defect detection
classification
FCM
LGM
digital information flow
turning
computer vision
control service
blister defect
RMTs
feature pyramid
research and development indicators
maintenance expert
polymer lithium-ion battery
IT concept
Industry 4.0
matching
data reduction
competence
fibre of preserved Szechuan pickle
elliptical paraboloid array
relative angle
geometric relationship
optical system
configure-to-order
aircraft structure crack detection
digital twins
smart factory
D-VGG16
optical slope sensor
smart manufacturing
self-calibration method
convolutional neural network
industry 4.0
skyline queries
machine learning
scalability test
cyber-physical production systems
Cyber-Physical Systems (CPS)
demand-side response
cutting parameter optimization
image smoothing
marketing innovations
genetic algorithm
automation system
defect detection
scheduling
job shop systems
big data
operator theory
micro-armature
train wheel
industrial knowledge graph
industrial load management
bilinear model
artificial neural networks
4th industrial revolution
INDUSTRY 4.0
construction equipment
lean assembly
capacity control
Grad-CAM
revolution workpiece
chatter
anomaly detection
QFD
social network
deep learning
control as a service
warm forming
automated surface inspection
cloud-based control system
innovative marketing tools
Internet of Things (IoT)
flower pollination algorithm
HED
edge computing
predictive analytics
BIM
digital platforms
industrial big data
energy flexibility
impacts marketing innovations
intellectualization of industrial information
economic recession
3D mesh reconstruction
demand-side management
Accès en ligne:https://directory.doabooks.org/handle/20.500.12854/54583
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