10 citations · 14 across the 3 of their papers we have counts for
3 papers
Stacked autoencoders based machine learning for noise reduction and signal reconstruction in geophysical data
Debjani Bhowick, Deepak K. Gupta, Saumen Maiti +1
Autoencoders are neural network formulations where the input and output of the network are identical and the goal is to identify the hidden representation in the provided datasets.…
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…