science1 publisher
UT San Antonio's off-grid flood node runs its warning model on the microcontroller
Chen Pan's team designed the prototype around the assumption that power and cell service fail when the storm arrives. Its on-device classifier reported 98.82% validation accuracy in initial testing.
Publishers:phys.org
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