144 citations · 386 across the 15 of their papers we have counts for
4 papers · 1 filter
GeoThermalCloud: Machine Learning for Geothermal Resource Exploration
Maruti K. Mudunuru, Velimir V. Vesselinov, Bulbul Ahmmed
This paper presents a novel ML-based methodology for geothermal exploration towards PFA applications. Our methodology is provided through our open-source ML framework, GeoThermalCl…
Nonnegative/binary matrix factorization with a D-Wave quantum annealer
Daniel O'Malley, Velimir V. Vesselinov, Boian S. Alexandrov +1
D-Wave quantum annealers represent a novel computational architecture and have attracted significant interest, but have been used for few real-world computations. Machine learning…
Nonnegative Matrix Factorization for identification of unknown number of sources emitting delayed signals
Filip L. Iliev, Valentin G. Stanev, Velimir V. Vesselinov +1
Factor analysis is broadly used as a powerful unsupervised machine learning tool for reconstruction of hidden features in recorded mixtures of signals. In the case of a linear appr…
Identification of release sources in advection-diffusion system by machine learning combined with Green function inverse method
Valentin G. Stanev, Filip L. Iliev, Scott Hansen +2
The identification of sources of advection-diffusion transport is based usually on solving complex ill-posed inverse models against the available state- variable data records. Howe…