BiLSTM uses the extracted feature data to predict stock closing price of the next day. AM is used to capture the influence of feature states on the stock closing price at different times in the past to improve the prediction accuracy. In order to prove the effectiveness of this method, ...
Statistically expected damage to capital stock from riverine flooding could double by 2030 from today's levels and quadruple by 2050. Data availability has made it challenging to develop similar estimates for the much larger range of impacts f...