Neural networks used to improve quality of digital rock images
A joint paper by KFU, University of Zanjan (Iran), and Bochum University of Applied Sciences appeared in Acta Geophysica. The introduction of machine learning reduces the limitations arising from tomographic imaging of rock samples: it becomes possible to improve the detail of sufficiently large samples, which in the future may contribute to the direct validation of numerical modeling...