id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-23825	Chen, Bo; Cao, Tuokai; Yao, Lidong	Research on Short-Term Multi-Step Prediction of River Dissolved Oxygen based on STL-LSTM	2024	9	.pdf	application/pdf	4821	240	61	Li C et al. (2018) used the wavelet method to denoise the dissolved oxygen data and experimentally demonstrated that the LSTM model is more suitable for dissolved oxygen prediction compared to traditional chaotic time series models. A hybrid model for dissolved oxygen prediction in aquaculture based on multi- scale features.	cache/fcis-23825.pdf	txt/fcis-23825.txt