Contributed to firefighting tech, here a novel application:
ML-Based Solution Could Help Firefighters Circumvent Deadly Backdrafts
U.S. National Institute of Standards and Technology
October 17, 2022
Scientists at the U.S. National Institute of Standards and Technology have formulated a machine learning-based model to predict potentially deadly backdrafts. The researchers based the model on data from hundreds of laboratory-engineered backdrafts, with the hope firefighters will deploy it to avoid or adjust to hazardous circumstances. The team initially fed the model data on gas levels, fuel richness, and temperature measured at one location in the lab chamber before a door was opened, to calculate the odds of a backdraft occurring. The model predicted backdrafts correctly in 70.8% of the experiments; adding measurements at a second location boosted its accuracy to 82.4%. .... '
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