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ZENODO
Software . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
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Preliminary integrated AI tool for the assessment of circularity in mobility and buildings (MS17)

Authors: Batista, Paulo; Silva, Mafalda; Cardoso, Ivo; JOHNSON, NITHIN REJI;

Preliminary integrated AI tool for the assessment of circularity in mobility and buildings (MS17)

Abstract

This content refers to the "Preliminary integrated AI tool for the assessment of circularity in mobility and buildings", as of July 2025, developed by INEGI under the scope of the CircEUlar project. The goal of this data-driven modelling tool is to support, in a spatially-explicit way, the identification of trade-offs and synergies between energy and materials in both mobility and in the built environment, allowing for the identification of integrated circularity strategies.

Keywords

Energy, Neural Networks, Urban, Transport, Circularity, Buildings, Materials

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average