A team led by Virginia Tech graduate student Samuel Daramola developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, to offer a faster, low-cost tool for flood forecasting.
from Top Health News -- ScienceDaily https://ift.tt/w7Tn6Xx
Subscribe to:
Post Comments (Atom)
-
Three treaties between the US and Hong Kong were suspended, the latest move to pressure China. from Yahoo News - Latest News & Headl...
-
At least 22 people were killed and 171 others injured on Sunday when one of Taiwan’s newer, faster trains derailed on a curve along a popula...
-
Prosecutors in Mexico have opened an investigation into former president Enrique Peña Nieto, who is accused of taking bribes in one of Latin...
No comments:
Post a Comment