A physics-constrained denoising autoencoder with softplus activations and hierarchical sensor heads achieves 67% smoothness gains and 91% noise reduction on 7894 real UAV wildfire samples while producing zero unphysical negative outputs.
Network of low-cost air quality sensors for monitoring indoor, outdoor, and personal PM2.5 exposure in Seattle during the 2020 wildfire season,
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Physics-Constrained Denoising Autoencoders for Data-Scarce Wildfire UAV Sensing
A physics-constrained denoising autoencoder with softplus activations and hierarchical sensor heads achieves 67% smoothness gains and 91% noise reduction on 7894 real UAV wildfire samples while producing zero unphysical negative outputs.