The code base for the graduate course in The Interaction of the Electromagnetic Field and Human Body seminar.

The paper titled Numerical Solution and Uncertainty Quantification of Bioheat Transfer Equation Using Neural Network Approach is based on the seminar and is available on IEEE Xplore: https://ieeexplore.ieee.org/document/9243733

@inProceedings{Kapetanovic2020,
    author={A. L. {Kapetanović} and A. {Šušnjara} and D. {Poljak}},
    booktitle={2020 5th International Conference on Smart and Sustainable Technologies (SpliTech)},
    title={Numerical Solution and Uncertainty Quantification of Bioheat Transfer Equation Using Neural Network Approach},
    year={2020},
    pages={1-6},
    doi={10.23919/SpliTech49282.2020.9243733}}

Recommended OS is Linux or, for Windows 10, Windows Subsystem for Linux (WSL). However, it is important to note that GPU computing is not supported using WSL.

Use Jupyter Notebook to run the experiments.

After downloading the repository as follows:

$ git pull git@github.com:antelk/neural-bhte.git

change directory into neural-bhte and run:

$ jupyter notebook

Prerequisities are available in environment.yml. It is recommended to create conda environment as follows:

$ conda env create -n neural-bhte -f environment.yml

The entire relevant code is in neural-bhte-implementation.ipynb notebook.

MIT