Name: 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 (en Inglés)
Price: 477052.00 COP
Availability: InStock
Author: Dingli, Alexiei ; Haddod, Foaad ; Klüver, Christina
ISBN: 9783030610470

portada 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 (en Inglés)

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 (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Dingli, Alexiei ; Haddod, Foaad ; Klüver, Christina

Idioma

Inglés

N° páginas

236

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 1.4 cm

Peso

0.37 kg.

ISBN13

9783030610470

Categorías

Ingeniería: general
Producción e ingeniería industrial
Inteligencia artificial

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 (en Inglés)

Dingli, Alexiei ; Haddod, Foaad ; Klüver, Christina (Autor) · Springer · Tapa Blanda

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Reseña del libro "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 (en Inglés)"

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.