The past is often the window to our future, especially when it comes to natural disasters. Using data from the 2018 floods that struck southwestern Japan to calibrate a machine learning model, researchers from the International Research Institute of Disaster Science (IRIDeS) at Tohoku University and the Japan-Peru Center for Earthquake Engineering Research and Disaster Mitigation (CISMID), have successfully identified the flooding caused by Typhoon Hagibis.
from News on Artificial Intelligence and Machine Learning https://ift.tt/2WnTTd2
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Using the past to predict the future: The case of Typhoon Hagibis
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