id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-1705	Divya Mahajan	Implementing Real-Time Traffic Flow Prediction Using LSTM Networks for Urban Mobility Optimization	2024	27	.pdf	application/pdf	12155	564	48	In order for traffic prediction models to work, they need to be scalable and optimized enough for these large networks. The advantage in the performance of LSTM network is that it has a kind of memory cell, which remember previous states for long-period time ( let say n-steps back through time ) so that it can capture important temporal dependencies presented in traffic flow prediction data.	cache/cana-1705.pdf	txt/cana-1705.txt