id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-23824	Cao, Enqi; Bu, Fanliang; Han, Zhuxuan	AutoEncoder-Based Data Completion Model for Theft Cases of Items Inside Cars	2024	4	.pdf	application/pdf	2988	156	50	Experimental results show that RepConv-RNN-AE can effectively complete the missing values in car interior theft case data and demonstrates superiority in completing missing data in car interior theft cases. Although car interior theft case data is essentially one- dimensional, the location information can still be transformed into multidimensional features through one-hot encoding.	cache/fcis-23824.pdf	txt/fcis-23824.txt