17 citations · 17 across the 1 of their papers we have counts for
4 papers
Estimation of moisture content distribution in porous foam using microwave tomography with neural networks
Timo Lähivaara, Rahul Yadav, Guido Link +1
The use of microwave tomography (MWT) in an industrial drying process is demonstrated in this feasibility study with synthetic measurement data. The studied imaging modality is app…
A Bayesian-based approach to improving acoustic Born waveform inversion of seismic data for viscoelastic media
Kenneth Muhumuza, Lassi Roininen, Janne M. J. Huttunen +1
In seismic waveform inversion, the reconstruction of the subsurface properties is usually carried out using approximative wave propagation models to ensure computational efficiency…
Gaussian process regression for forest attribute estimation from airborne laser scanning data
Petri Varvia, Timo Lähivaara, Matti Maltamo +2
While the analysis of airborne laser scanning (ALS) data often provides reliable estimates for certain forest stand attributes -- such as total volume or basal area -- there is sti…
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…