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Digital twin driven intelligent syst...

Karaarslan, Enis.

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Digital twin driven intelligent systems and emerging metaverse

Record Type:	Electronic resources : Monograph/item
Title/Author:	Digital twin driven intelligent systems and emerging metaverse/ edited by Enis Karaarslan ... [et al.].
other author:	Karaarslan, Enis.
Published:	Singapore :Springer Nature Singapore : : 2023.,
Description:	viii, 349 p. :ill., digital ;24 cm.
[NT 15003449]:	1. Digital twin literature survey -- 2. Digital Twin in Construction -- 3. Smart Cities and Digital Twin -- 4. Digital Twins for Industry 4.0 -- 5. Digital Twin and Wind turbines.
Contained By:	Springer Nature eBook
Subject:	Digital twins (Computer simulation) -
Online resource:	https://doi.org/10.1007/978-981-99-0252-1
ISBN:	9789819902521

Digital twin driven intelligent systems and emerging metaverse
Digital twin driven intelligent systems and emerging metaverse[electronic resource] /edited by Enis Karaarslan ... [et al.]. - Singapore :Springer Nature Singapore :2023. - viii, 349 p. :ill., digital ;24 cm.

1. Digital twin literature survey -- 2. Digital Twin in Construction -- 3. Smart Cities and Digital Twin -- 4. Digital Twins for Industry 4.0 -- 5. Digital Twin and Wind turbines.

This book covers the notion of the digital twin, which has the potential to alter the way systems are governed and manufactured. It also addresses the metaverse as an emerging technology with its roots in literature, cross-platform avatars, and artificial intelligence-oriented cybersecurity issues. The untapped potential of the metaverse and digital twins as enabling technologies for the next-generation industries is emphasized in various chapters. Digital twin technology enables manufacturers to comprehend their products throughout product design better, integrate simulation, tracking, and optimization in real-time, and appropriately analyze operations. Especially for complicated products or systems, testing on a digital twin is more efficient (more accessible, quicker, less error-prone, and less expensive) The product is examined in its virtual version before it is displayed in the actual world. Additionally, the digital twin minimizes operational expenses and increases the longevity of equipment and assets. By prolonging the life of the thing, they represent and enhance its working efficiency; it may minimize operating costs and prospective capital spending. The digital twin idea is becoming a reality as it has begun to be used in several industries, including energy, manufacturing, construction, transportation, aerospace, smart cities, healthcare, cyber security, finance, and agriculture. Academic and industrial experts highlighted the most compelling use cases of digital twins and metaverses and the challenges inherent in their implementation. Readers who want to make more effective systems will find the book useful. Also, people who want to get an idea and vision of how technology will change our lives will benefit from this book.

ISBN: 9789819902521

Standard No.: 10.1007/978-981-99-0252-1doiSubjects--Topical Terms:

3608573
Digital twins (Computer simulation)

LC Class. No.: QA76.9.C65

Dewey Class. No.: 003.3

Digital twin driven intelligent systems and emerging metaverse
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245 0 0 $a Digital twin driven intelligent systems and emerging metaverse $h [electronic resource] / $c edited by Enis Karaarslan ... [et al.].
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2023.
300 $a viii, 349 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1. Digital twin literature survey -- 2. Digital Twin in Construction -- 3. Smart Cities and Digital Twin -- 4. Digital Twins for Industry 4.0 -- 5. Digital Twin and Wind turbines.
520 $a This book covers the notion of the digital twin, which has the potential to alter the way systems are governed and manufactured. It also addresses the metaverse as an emerging technology with its roots in literature, cross-platform avatars, and artificial intelligence-oriented cybersecurity issues. The untapped potential of the metaverse and digital twins as enabling technologies for the next-generation industries is emphasized in various chapters. Digital twin technology enables manufacturers to comprehend their products throughout product design better, integrate simulation, tracking, and optimization in real-time, and appropriately analyze operations. Especially for complicated products or systems, testing on a digital twin is more efficient (more accessible, quicker, less error-prone, and less expensive) The product is examined in its virtual version before it is displayed in the actual world. Additionally, the digital twin minimizes operational expenses and increases the longevity of equipment and assets. By prolonging the life of the thing, they represent and enhance its working efficiency; it may minimize operating costs and prospective capital spending. The digital twin idea is becoming a reality as it has begun to be used in several industries, including energy, manufacturing, construction, transportation, aerospace, smart cities, healthcare, cyber security, finance, and agriculture. Academic and industrial experts highlighted the most compelling use cases of digital twins and metaverses and the challenges inherent in their implementation. Readers who want to make more effective systems will find the book useful. Also, people who want to get an idea and vision of how technology will change our lives will benefit from this book.
650 0 $a Digital twins (Computer simulation) $3 3608573
650 0 $a Metaverse. $3 3627392
650 0 $a Artificial intelligence. $3 516317
650 1 4 $a Industrial and Production Engineering. $3 891024
650 2 4 $a Computer Modelling. $3 3538541
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Computer and Information Systems Applications. $3 3538505
700 1 $a Karaarslan, Enis. $3 3631652
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856 4 0 $u https://doi.org/10.1007/978-981-99-0252-1
950 $a Engineering (SpringerNature-11647)