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This repository includes the training and testing of the Neural Network model proposed in the article titled "Quantification of Shortwave Surface Albedo Feedback using a Neural Network Approach".
This dashboard attempts to combine the motivation behind Global Sensitivity Analysis of Life Cycle Assessment, with necessary computations and visualization of the results -all in one place.
This work is part of mathematical research I carried out in 2019 leading to my MSc thesis at Ignatius Ajuru University. MATLAB was used for numerical simulation and Python was used for analysis and visualisation.
Source codes to simulate tumor growth in interaction with immune cell in a size and space structured tumor-immune interaction model and to perform sensitivity analysis of the stationary profile.