arXiv Machine Learning June 2, 2026 By Reda Snaiki, Abdelatif Merabtine

Uncertainty-Aware Graph Neural Reconstruction of Urban Temperature Fields from Sparse Sensors under Deployment Constraints

Read the original on arXiv Machine Learning →

arXiv:2606. 02038v1 Announce Type: cross Abstract: Reconstructing spatially continuous daily temperature fields from sparse observations is important for urban climate monitoring and heat-risk analysis, but practical deployments are limited by sensor budgets and spacing constraints.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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