Artificial intelligence in Industry 4.0 : a collection of innovative research case-studies that are reworking the way we look at Industry 4.0 thanks to artificial intelligence / Alexiei Dingli, Foaad Haddod, Christina Klüver, editors.
Dingli, Alexiei, editor.; Haddod, Foaad, editor.; Klüver, Christina, editor.
2021
TA347.A78 A78 2021
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Title
Artificial intelligence in Industry 4.0 : a collection of innovative research case-studies that are reworking the way we look at Industry 4.0 thanks to artificial intelligence / Alexiei Dingli, Foaad Haddod, Christina Klüver, editors.
ISBN
9783030610456 (electronic bk.)
3030610454 (electronic bk.)
9783030610449
3030610446
DOI
https://doi.org/10.1007/978-3-030-61045-6
Published
Cham : Springer, [2021]
Language
English
Description
1 online resource (xxv, 236 pages) : illustrations (some color)
Item Number
10.1007/978-3-030-61045-6 doi
Call Number
TA347.A78 A78 2021
Dewey Decimal Classification
006.3
Summary
This book is intended to help management and other interested parties such as engineers, to understand the state of the art when it comes to the intersection between AI and Industry 4.0 and get them to realise the huge possibilities which can be unleashed by the intersection of these two fields. We have heard a lot about Industry 4.0, but most of the time, it focuses mainly on automation. In this book, the authors are going a step further by exploring advanced applications of Artificial Intelligence (AI) techniques, ranging from the use of deep learning algorithms in order to make predictions, up to an implementation of a full-blown Digital Triplet system. The scope of the book is to showcase what is currently brewing in the labs with the hope of migrating these technologies towards the factory floors. Chairpersons and CEOs must read these papers if they want to stay at the forefront of the game, ahead of their competition, while also saving huge sums of money in the process.
Note
Includes index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed March 26, 2021).
Added Author
Dingli, Alexiei, editor.
Haddod, Foaad, editor.
Klüver, Christina, editor.
Series
Studies in computational intelligence ; v. 928. 1860-949X
Available in Other Form
Print version: 9783030610449
Print version: 9783030610463
Print version: 9783030610470
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Online Access
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Part I: Managing the Industry 4.0 revolution
Implementing Industry 4.0
The Need for a Holistic Approach
Motivation in a business company using technology-based communication
Decision Support in Everyday Business using Self-Enforcing Networks
Approaches for Cognitive Assistance in Industry 4.0
Part II: Modelling for Industry 4.0
Modelling and Simulation in Industry 4.0
Homogenization algorithm based on incremental L2-discrepancy filtering for data-driven modelling
Linking Industry 4.0, Learning Factory and Simulation: testbeds and proof-of-concept experiments
Part III: Machine Learning in Industry 4.0
Intelligent Digital Twin system in the semiconductors manufacturing industry
Automatic defect recognition in nonwovens using images and metadata analysis
a deep learning approach
MIRAI: A Modifiable, Interpretable, and Rational AI decision support system
Multi-Agent Reinforcement Learning for the Energy Optimization of Cyber-Physical Production Systems
Affect of artificial intelligence technologies and digitalisation on jurisprudence and education
Part IV: Agents in Industry 4.0
Approach for model driven development of multi agent systems for ambient intelligence
Designing trust in highly automated virtual assistants : A taxonomy of levels of autonomy
Introducing the concept of "digital-agent signatures": How SSI can be expanded for the needs of Industry 4.0.

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