Exploring a New Machine Learning-Based Probabilistic Model for High-Resolution Indoor Radon Mapping Using German Data

The authors propose a model-based approach to estimate indoor radon distribution with higher spatial resolution, correcting for sampling biases and providing accurate predictions.