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Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities

Edited by Panos M. Pardalos (), Stamatina Th. Rassia () and Arsenios Tsokas ()

in Springer Optimization and Its Applications from Springer, currently edited by Pardalos, Panos, Thai, My T. and Du, Ding-Zhu

Date: 2022
ISBN: 978-3-030-84459-2
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Chapters in this book:

Cities as Convergent Autopoietic Systems
Christopher G. Kirwan and Stefan V. Dobrev
Digital “Vitalism” and its “Epistemic” Predecessors: “Smart” Neoteric History and Contemporary Approaches
Konstantinos Moraitis
Unbuildable Cities
Stamatina Th. Rassia
Smart Cities as Identities
Nikolaos Tsoniotis
A Cross-Domain Landscape of ICT Services in Smart Cities
Barbora Buhnova, Terezia Kazickova, Mouzhi Ge, Leonard Walletzky, Francesco Caputo and Luca Carrubbo
A Novel Data Representation Method for Smart Cities’ Big Data
Attila M. Nagy and Vilmos Simon
A Pedestrian-Level Strategy to Minimize Outdoor Sunlight Exposure
Xiaojiang Li, Yuji Yoshimura, Wei Tu and Carlo Ratti
Planning and Management of Charging Facilities for Electric Vehicle Sharing
Long He, Guangrui Ma, Wei Qi, Xin Wang and Shuaikun Hou
A Reactive Architectural Proposal for Fog/Edge Computing in the Internet of Things Paradigm with Application in Deep Learning
Óscar Belmonte-Fernández, Emilio Sansano-Sansano, Sergio Trilles and Antonio Caballer-Miedes
Urban Big Data: City Management and Real Estate Markets
Richard Barkham, Sheharyar Bokhari and Albert Saiz
Social Media-Based Intelligence for Disaster Response and Management in Smart Cities
Shaheen Khatoon, Amna Asif, Md Maruf Hasan and Majed Alshamari

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Persistent link: https://EconPapers.repec.org/RePEc:spr:spopap:978-3-030-84459-2

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DOI: 10.1007/978-3-030-84459-2

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