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title COST INTERACT - Radio Propagation Modeling in an Urban Scenario using Generative Ray Path Sampling
categories
Research
tags
machine-learning
manim
manim-slides
presentation
programming
propagation
ray-tracing
image
path alt
/assets/img/posts/dublin-temple-bar.webp
Dublin, Ireland - Image by Leonhard Niederwimmer from Pixabay
permalink /posts/cost-interact-january-2024/
redirect_from /posts/cost-interact-january-2024-presentation/
description Presentation slides and code for my talk at the COST INTERACT meeting in Dublin, Ireland.

The presented work is a collaboration between UCLouvain and UniBo. We investigated the possible use of generative Machine Learning to decrease the computational complexity of Ray Tracing. The aim is to train a model that learns how to generate important (see paper) paths, to avoid the usual exhaustive search through all potential ray paths, that has an exponentially growing computational cost.

Slides

{% include slides.html url="/assets/slides/2025-01-27-dublin-presentation.html" %}

If you prefer, PowerPoint and PDF versions are also available.

References

{% bibliography --cited %}

Source code

Available on GitHub: _slides/2025-01-27-dublin-presentation/main.py{: .filepath}.