id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-3469	Himanshu Jindia	Long- and Short-Term Memory Networks in Financial Market Predictions: A Study on USD Fluctuations 	2025	10	.pdf	application/pdf	4387	286	59	The CNN-STLSTM to AM is compared against the SVR [25], CNN network, GRU- LSTM, LSTM, CNNLSTM, and CNN-LSTM to AM in this study. 3. Research Gap Several research gaps persist in adequately addressing the intricacies of USD exchange rate changes, despite the extensive use of Long- and Short-Term Memory (LSTM) networks in financial market prediction.	cache/cana-3469.pdf	txt/cana-3469.txt