Building safer cities with AI: Machine learning model enhances urban resilience against liquefaction
In earthquake-prone areas like Japan, there is a need for better prediction of soil stability to mitigate liquefaction risks. Towards this end, researchers have used machine learning models, including ...
This image shows a sample comparison between the risk map generated by the researchers using AI and the officially published risk map by the Yokohama authorities. The generated risk map incorporates ...
Soil liquefaction that results in infrastructure damage has long been a point of contention for urban planners and engineers. Accurately predicting the soil liquefaction risk of a region could help ...
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