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physics.comp-ph2018★ 42 cited
Estimation of groundwater storage from seismic data using deep learning
Timo Lähivaara, Alireza Malehmir, Antti Pasanen +3
Convolutional neural networks can provide a potential framework to characterize groundwater storage from seismic data. Estimation of key components such as the amount of groundwate…
physics.comp-ph2017★ 65 cited
Deep convolutional neural networks for estimating porous material parameters with ultrasound tomography
Timo Lähivaara, Leo Kärkkäinen, Janne M. J. Huttunen +1
We study the feasibility of data based machine learning applied to ultrasound tomography to estimate water-saturated porous material parameters. In this work, the data to train the…