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Lengthy quick-expression memory (LSTM) This is a well-liked method of RNN architecture that utilizes Specific models to handle the vanishing gradient problem, which was introduced by Hochreiter et al. [42]. A memory cell in an LSTM unit can keep facts for extensive durations and the movement of information into and out in the cell is managed by 3 g