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Exploring the 3D Gravity Inversion Problem Using a Compact Hybrid Transformer‐Based Deep Learning Model

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract The three‐dimensional (3D) gravity inversion problem is the process of delineating the volumetric mass distributions from the surface gravity anomalies. Recently, many innovative Convolutional Neural Network (CNN) based algorithms have found some success in reduction of computation costs and delineation of sharper boundaries of causative ...
Abhirup Chaudhuri   +2 more
wiley   +1 more source
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Materials Today: Proceedings, 2021
B K Patle, Sudarshan Sanap, Alok Jha
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On the Cauchy Completeness of the Constructive Cauchy Reals

Electronic Notes in Theoretical Computer Science, 2007
Robert S Lubarsky
exaly   +2 more sources

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