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Found 2 papers, 1 papers with code
Spatial Deep Deconvolution U-Net for Traffic Analyses with Distributed Acoustic Sensing
In response, we introduce a self-supervised U-Net model that can suppress background noise and compress car-induced DAS signals into high-resolution pulses through spatial deconvolution.
Automated Seismic Source Characterisation Using Deep Graph Neural Networks
Most seismological analysis methods require knowledge of the geographic location of the stations comprising a seismic network.
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