10 citations · 11 across the 2 of their papers we have counts for
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Design and analysis adaptivity in multi-resolution topology optimization
Deepak K. Gupta, Fred van Keulen, Matthijs Langelaar
Multiresolution topology optimization (MTO) methods involve decoupling of the design and analysis discretizations, such that a high-resolution design can be obtained at relatively…
Deep Autoassociative Neural Networks for Noise Reduction in Seismic data
Debjani Bhowmick, Deepak K. Gupta, Saumen Maiti +1
Machine learning is currently a trending topic in various science and engineering disciplines, and the field of geophysics is no exception. With the advent of powerful computers, i…
Velocity-Porosity Supermodel: A Deep Neural Networks based concept
Debjani Bhowmick, Deepak K. Gupta, Saumen Maiti +1
Rock physics models (RPMs) are used to estimate the elastic properties (e.g. velocity, moduli) from the rock properties (e.g. porosity, lithology, fluid saturation). However, the r…