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.
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
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.
🌏 MH2DGRAV is continuous two-dimension inversion of Gravity data based on Talwani formulation using very fast simulated annealing (VFSA) in MATLAB.
Package of robust GPR inversion using Huber norm and source separation
🌏 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.
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.
A complete Web Api following proper conventions used in Big Tech Companies
Solving multiphysics-based inverse problems with learned surrogates and constraints
A package that implements http fetching from rest api, scheduled cache and socket connections.
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