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B-ExposNet: Bayesian Deep Learning for EMF Exposure Mapping with Uncertainty Quantification
Electromagnetic field exposure in urban environments is highly variable, and conventional exposure maps provide a deterministic estimate, without considering its uncertainty. To address the gap, this paper proposes B-ExposNet, a Bayesian neural network for spatial exposure estimation with uncertaint
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