A unified deep learning framework integrating OpenStreetMap for multi-domain urban planning tasks. [PDF]
Sci RepChen Y, Afandi WS, Gura D, Kosenok Y.
europepmc +1 more source
Toward Foundation Models for Mobility Enriched Geospatially Embedded Objects. [PDF]
Proc ACM SIGSPATIAL Int Conf Adv InfSiampou MD +4 more
europepmc +1 more source
GeoAI in resource-constrained environments
This paper describes spatially aware Artificial Intelligence, GeoAI, tailored for small organizations such as NGOs in resource constrained contexts where access to large datasets, expensive compute infrastructure and AI expertise may be restricted.
Böhlen, Marc +5 more
core
An explainable GeoAI framework for spatial assessment of wildfire susceptibility in the Upper Ravi sub-basin, Indian Himalaya. [PDF]
Sci RepSuheb +8 more
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Global datasets of geospatial-AI-resolved energy consumers including climate-driven energy demands, geographical and socioeconomic realities for a transition reset. [PDF]
Sci DataMoya D, Copara D, Giarola S, Hawkes A.
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An overview of urban analytical approaches to combating the Covid-19 pandemic. [PDF]
Environ Plan B Urban Anal City Sci, 2023 Yao XA +5 more
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The generative revolution: a brief introduction. [PDF]
Int J Health GeogrKolokoussis P, Mu L, Kamel Boulos MN.
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A GeoAI framework for detecting risk zones from illegal dumping sites in Khulna, Bangladesh. [PDF]
PLoS OneDas S, Morshed MM.
europepmc +1 more source
Opportunities and shortcomings of AI for spatial epidemiology and health disparities research on aging and the life course. [PDF]
Health PlaceAbdel Magid HS, Desjardins MR, Hu Y.
europepmc +1 more source
Artificial intelligence in urban science: why does it matter? [PDF]
Ann GISYe X +8 more
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