東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Digital twin computing for urban int...

Pourroostaei Ardakani, Saeid.

Linked to FindBook

Google Book

Amazon

博客來

Digital twin computing for urban intelligence

Record Type:	Electronic resources : Monograph/item
Title/Author:	Digital twin computing for urban intelligence/ edited by Saeid Pourroostaei Ardakani, Ali Cheshmehzangi.
other author:	Pourroostaei Ardakani, Saeid.
Published:	Singapore :Springer Nature Singapore : : 2024.,
Description:	xvi, 243 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Embracing the Digital Twin Paradigm for Urban Sustainability -- Towards Sustainable Urban Rooftop Solar Energy Planning through Spatial Digital Twins Paradigm: A Systematic Literature Review -- Creating a Foundation for Spatial Digital Twins in Data-Scarce Regions through Open-Source Solutions -- Fusion of Digital Twin, Internet-of-Things and Artificial Intelligence for Urban Intelligence -- Building Resilient Smart Cities: The Role of Digital Twins and Generative AI in Disaster Management Strategy.
Contained By:	Springer Nature eBook
Subject:	Sustainable urban development - Data processing. -
Online resource:	https://doi.org/10.1007/978-981-97-8483-7
ISBN:	9789819784837

Digital twin computing for urban intelligence
Digital twin computing for urban intelligence[electronic resource] /edited by Saeid Pourroostaei Ardakani, Ali Cheshmehzangi. - Singapore :Springer Nature Singapore :2024. - xvi, 243 p. :ill. (some col.), digital ;24 cm. - Urban sustainability,2731-6491. - Urban sustainability..

Embracing the Digital Twin Paradigm for Urban Sustainability -- Towards Sustainable Urban Rooftop Solar Energy Planning through Spatial Digital Twins Paradigm: A Systematic Literature Review -- Creating a Foundation for Spatial Digital Twins in Data-Scarce Regions through Open-Source Solutions -- Fusion of Digital Twin, Internet-of-Things and Artificial Intelligence for Urban Intelligence -- Building Resilient Smart Cities: The Role of Digital Twins and Generative AI in Disaster Management Strategy.

Digital Twin Computing for Urban Intelligence focuses on new and ongoing discourses in interdisciplinary research and practice in urban system and smart city development pathways. It approaches digital twin fundamentals and principals including theoretical foundations, conceptualisations, strategies and services/patterns to define and adapt digital twin solutions for urban applications - mainly sustainability. This book highlights promising case studies and outlines digital twin design models and system architecture by examining key digital twin deployment practices such as data analysis, decision making, and service automation in the line with intelligent urban planning. It also emphasises on DT technologies such as cloud computing, AI, IoTs, and smart virtualisation and outlines the key benefits of the DT solutions in urban applications - mainly control and planning. This book is intended for a wide range of audiences, including interested layperson audiences, undergraduate and graduate students in university, and researchers. The key benefits of this book are: 1- To introduce the theoretical principles and fundamentals of DT computing for urban intelligence. 2- To present the state-of-the-art DT technologies in urban planning and control. 3- To describe the practical deployment process of DT computing solutions for urban sustainability and intelligence.

ISBN: 9789819784837

Standard No.: 10.1007/978-981-97-8483-7doiSubjects--Topical Terms:

3308522
Sustainable urban development
--Data processing.

LC Class. No.: HT241

Dewey Class. No.: 307.14160285

Digital twin computing for urban intelligence
LDR:02939nmm a2200337 a 4500 001 2389494
003 DE-He213
005 20241225115241.0
006 m d
007 cr nn 008maaau
008 250916s2024 si s 0 eng d
020 $a 9789819784837 $q (electronic bk.)
020 $a 9789819784820 $q (paper)
024 7 $a 10.1007/978-981-97-8483-7 $2 doi
035 $a 978-981-97-8483-7
040 $a GP $c GP
041 0 $a eng
050 4 $a HT241
072 7 $a RG $2 bicssc
072 7 $a SCI030000 $2 bisacsh
072 7 $a RG $2 thema
082 0 4 $a 307.14160285 $2 23
090 $a HT241 $b .D574 2024
245 0 0 $a Digital twin computing for urban intelligence $h [electronic resource] / $c edited by Saeid Pourroostaei Ardakani, Ali Cheshmehzangi.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2024.
300 $a xvi, 243 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Urban sustainability, $x 2731-6491
505 0 $a Embracing the Digital Twin Paradigm for Urban Sustainability -- Towards Sustainable Urban Rooftop Solar Energy Planning through Spatial Digital Twins Paradigm: A Systematic Literature Review -- Creating a Foundation for Spatial Digital Twins in Data-Scarce Regions through Open-Source Solutions -- Fusion of Digital Twin, Internet-of-Things and Artificial Intelligence for Urban Intelligence -- Building Resilient Smart Cities: The Role of Digital Twins and Generative AI in Disaster Management Strategy.
520 $a Digital Twin Computing for Urban Intelligence focuses on new and ongoing discourses in interdisciplinary research and practice in urban system and smart city development pathways. It approaches digital twin fundamentals and principals including theoretical foundations, conceptualisations, strategies and services/patterns to define and adapt digital twin solutions for urban applications - mainly sustainability. This book highlights promising case studies and outlines digital twin design models and system architecture by examining key digital twin deployment practices such as data analysis, decision making, and service automation in the line with intelligent urban planning. It also emphasises on DT technologies such as cloud computing, AI, IoTs, and smart virtualisation and outlines the key benefits of the DT solutions in urban applications - mainly control and planning. This book is intended for a wide range of audiences, including interested layperson audiences, undergraduate and graduate students in university, and researchers. The key benefits of this book are: 1- To introduce the theoretical principles and fundamentals of DT computing for urban intelligence. 2- To present the state-of-the-art DT technologies in urban planning and control. 3- To describe the practical deployment process of DT computing solutions for urban sustainability and intelligence.
650 0 $a Sustainable urban development $x Data processing. $3 3308522
650 0 $a Digital twins (Computer simulation) $3 3608573
650 1 4 $a Integrated Geography. $3 3539004
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Sustainability. $3 1029978
700 1 $a Pourroostaei Ardakani, Saeid. $3 3667091
700 1 $a Cheshmehzangi, Ali. $3 3299387
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Urban sustainability. $3 3597125
856 4 0 $u https://doi.org/10.1007/978-981-97-8483-7
950 $a Social Sciences (SpringerNature-41176)