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Augmented Computing and Smart Cities Sustainability

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Computational Science and Its Applications – ICCSA 2023 Workshops (ICCSA 2023)

Abstract

Smart Cities promote a great improvement in urban environments in terms of sustainability, leveraged by the use of technologies that allow the optimization and monitoring of different systems, from waste management systems to public safety. There are several technologies that can play a key role in this process, highlighting augmented computing, augmented reality, virtual reality, artificial intelligence, and machine learning. In this context, smart cities collects and analyses, optimizing the various systems processes. There are many challenges that arise in order to have sustainable smart cities, challenges in terms of privacy and data security, but also in promoting inclusion and equity. It is important to adopt an inclusive and holistic approach that involves all stakeholders and takes into account the specific needs and objectives of a city. With this in mind, the adoption of augmented computing technologies facilitates the creation of more livable and also more sustainable urban environments. The main objective of this work is to explore the area of augmented computing in the context of smart cities sustainability.

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Acknowledgement

The authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CIMO (UIDB/00690/2020 and UIDP/00690/2020) and SusTEC (LA/P/0007/2020).

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Correspondence to Teresa Guarda .

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Guarda, T., Lopes, I., Bustos, S., Ribeiro, I., Fernandes, A. (2023). Augmented Computing and Smart Cities Sustainability. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2023 Workshops. ICCSA 2023. Lecture Notes in Computer Science, vol 14108. Springer, Cham. https://doi.org/10.1007/978-3-031-37117-2_10

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  • DOI: https://doi.org/10.1007/978-3-031-37117-2_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-37116-5

  • Online ISBN: 978-3-031-37117-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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