Starting to experiment with an Inversion framework for composition.
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Updated
Mar 5, 2017 - C#
Starting to experiment with an Inversion framework for composition.
Image Debanding using Inversion by Direct Iteration
update constraining conditions for a given SINEX file. This method is capable to convert between minimum constraints (MC), over constrains (OC), and changes the network of fiducial sites.
Implementation and demo for "Convolutional neural networks (CNN) for feature-based model calibration under uncertain geologic scenarios" by Mohd-Razak and Jafarpour (2020) as published in Computational Geosciences.
Universal parameter fitting tool for petrophysical laboratory data
Config files for my GitHub profile.
This project aims to replicate and extend the experiments on the dynamical adjustment problem presented by Shubert et al. (1995). We are working to recreate the experiments and conduct further experiments to explore the problem based on the dynamical model.
Package of robust GPR inversion using Huber norm and source separation
🌏 MH2DGRAV is continuous two-dimension inversion of Gravity data based on Talwani formulation using very fast simulated annealing (VFSA) in MATLAB.
Public repository of "A new workflow to incorporate prior information in minimum gradient support (MGS) inversion of electrical resistivity and induced polarization data" https://doi.org/10.1016/j.jappgeo.2021.104286
A complete Web Api following proper conventions used in Big Tech Companies
Solving multiphysics-based inverse problems with learned surrogates and constraints
🌏 This project explains about my independent study at Physics, ITB (2016).
This Matlab function performs the numerical inversion of a symbolic expression representing a Characteristic function of a discrete distribution, and outputs the discrete CDF over a custom range.
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