CHF 219.00

Ai-Driven Digital Twin and Industry 4.0
A Conceptual Framework With Applications

Inglese · Copertina rigida

Spedizione di solito entro 4 a 7 giorni lavorativi

Descrizione

Ulteriori informazioni

This book presents the role of AI-Driven Digital Twin in the Industry 4.0 ecosystem by focusing on Smart Manufacturing, sustainable development, and many other applications. It also discusses different case studies and presents an in-depth understanding of the benefits and limitations of using AI and Digital Twin for industrial developments.AI-Driven Digital Twin and Industry 4.0: A Conceptual Framework with Applications introduces the role of Digital Twin in Smart Manufacturing and focuses on the Digital Twin framework throughout. It provides a summary of the various AI applications in the Industry 4.0 environment and emphasizes the role of advanced computational and communication technologies. The book offers demonstrative examples of AI-Driven Digital Twin in various application domains and includes AI techniques used to analyze the environmental impact of industrial operations along with examples. The book reviews the major challenges in the deployment of AI-Driven Digital Twin in the Industry 4.0 ecosystem and presents an understanding of how AI is used in the designing of Digital Twin for various applications. The book also enables familiarity with various industrial applications of computational and communication technologies and summarizes the ongoing research and innovations in the areas of AI, Digital Twin, and Smart Manufacturing while also tracking the various research challenges along with future advances.This reference book is a must-read and is very beneficial to students, researchers, academicians, industry experts, and professionals working in related fields.

Dettagli sul prodotto

Con la collaborazione di Sita Rani (Editore), Pankaj Bhambri (Editore), Sachin Kumar (Editore), Piyush Kumar Pareek (Editore), Ahmed A. Elngar (Editore), Kumar Sachin (Editore)
Autori Sita (Gndec Rani
Editore Taylor & Francis Ltd.
 
Contenuto Libro
Forma del prodotto Copertina rigida
Data pubblicazione 19.06.2024
Categoria Scienze naturali, medicina, informatica, tecnica > Tecnica > Elettronica, elettrotecnica, telecomunicazioni
 
EAN 9781032494739
ISBN 978-1-0-3249473-9
Numero di pagine 316
 
Serie Intelligent Manufacturing and Industrial Engineering
Categorie BUSINESS & ECONOMICS / Development / Sustainable Development, Sustainability, Artificial Intelligence, TECHNOLOGY & ENGINEERING / Automotive, TECHNOLOGY & ENGINEERING / Engineering (General), TECHNOLOGY & ENGINEERING / Manufacturing, TECHNOLOGY & ENGINEERING / Automation, TECHNOLOGY & ENGINEERING / Electrical, TECHNOLOGY & ENGINEERING / Environmental / General, TECHNOLOGY & ENGINEERING / Hydraulics, TECHNOLOGY & ENGINEERING / Mobile & Wireless Communications, Electrical Engineering, environmental science, engineering & technology, Automotive technology and trades, Cyber-Physical Systems, Other manufacturing technologies, Ethical & social aspects of IT, Engineering: general, Automotive technology & trades, Automatic control engineering, Databases, COMPUTERS / Artificial Intelligence / General, WAP (wireless) technology, COMPUTERS / Social Aspects, Hydraulic Engineering, COMPUTERS / Database Administration & Management, High Performance Computing Applications, Databases / Data management, industrial automation systems, predictive maintenance strategies, resource optimisation techniques, IoT-enabled manufacturing, environmental impact assessment industry
 

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