Browsing by Author "Torpi, Hamid"
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Variable data structures and customized deep learning surrogates for computationally efficient and reliable characterization of buried objects
Yurt, Reyhan; Torpi, Hamid; Kızılay, Ahmet; Koziel, Slawomir; Mahouti, Peyman (Nature Research, 2024)In this study, in order to characterize the buried object via deep-learning-based surrogate modeling approach, 3-D full-wave electromagnetic simulations of a GPR model have been used. The task is to independently predict ...