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Andreas F. Gkontzis, Sotiris Kotsiantis, Georgios Feretzakis and Vassilios S. Verykios
Smart cities, leveraging advanced data analytics, predictive models, and digital twin techniques, offer a transformative model for sustainable urban development. Predictive analytics is critical to proactive planning, enabling cities to adapt to evolving...
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Qian Qu, Mohsen Hatami, Ronghua Xu, Deeraj Nagothu, Yu Chen, Xiaohua Li, Erik Blasch, Erika Ardiles-Cruz and Genshe Chen
Over the past decade, there has been a remarkable acceleration in the evolution of smart cities and intelligent spaces, driven by breakthroughs in technologies such as the Internet of Things (IoT), edge?fog?cloud computing, and machine learning (ML)/arti...
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Yogeswaranathan Kalyani, Liam Vorster, Rebecca Whetton and Rem Collier
In the last decade, digital twin (DT) technology has received considerable attention across various domains, such as manufacturing, smart healthcare, and smart cities. The digital twin represents a digital representation of a physical entity, object, sys...
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Manman Li, Mengying Cui and David Levinson
This paper investigates the spatial dependency of job and worker densities for the Minneapolis?St. Paul (Twin Cities) metropolitan area using census block level data from 2002 to 2017. A spatial weight matrix is proposed, considering the statistical expr...
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Toni Rantanen, Arttu Julin, Juho-Pekka Virtanen, Hannu Hyyppä and Matti T. Vaaja
Increasing interest has recently been shown towards the digital twins of cities. These urban digital twins utilize 3D city models together with other data sources, such as open data, which can be accessed, e.g., through application programming interfaces...
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Yue Ying, Mila Koeva, Monika Kuffer and Jaap Zevenbergen
Increasing urbanisation has inevitably led to the continuous construction of buildings. Urban expansion and densification processes reshape cities and, in particular, the third dimension (3D), thus calling for a technical shift from 2D to 3D for property...
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Cheng Qian, Xing Liu, Colin Ripley, Mian Qian, Fan Liang and Wei Yu
The Internet of Things (IoT) connects massive smart devices to collect big data and carry out the monitoring and control of numerous things in cyber-physical systems (CPS). By leveraging machine learning (ML) and deep learning (DL) techniques to analyze ...
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Christian Stary,Matthes Elstermann,Albert Fleischmann,Werner Schmidt
Pág. 31 - 52
Digital Twins are digital models of Cyber-Physical Systems to enable not only continuous monitoring but also active functional improvement of networked services, physical products, machines and devices. This capacity is of utmost importance when recogniz...
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Zaid O. Saeed, Francesco Mancini, Tanja Glusac and Parisa Izadpanahi
Digitalisation and the future city paradigm are becoming a trend in recent research and practices. Literature discusses digitalisation and its applications as the main gear in the transformation to the ideal future city vision. Yet, the concept of digita...
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Vasily Kupriyanovsky,Dmitry Namiot,Alexander Klimov,Andrey Dobrynin,?lexey Korzun,Mikhail Zhabitskii,Nikolai Vykhodov,Al?xander Lysogorsky
Pág. 91 - 130
The topic of digital twins is attracting a lot of attention from industry and transport as well as from academia today. The digital twin, being a virtual representation of a physical asset, allows describing the behavior of an asset during its life cycle...
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