id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-22531	Yang, Tianhang	Recognition and Prediction of Precursory Feature Signals of Coal Mine Rock Burst Based on Random Forest and MK Trend Test	2024	5	.pdf	application/pdf	2612	129	51	In the visualization of data, we show the distribution and trend of data by drawing to help understand 2 the characteristics of data, such as the upward trend of precursor feature data. Precursor Feature Signals Within about 7 days before the earth burst, the electromagnetic radiation and acoustic emission signals have a tendency to increase with time cycle, which is called precursor characteristic signals.	cache/fcis-22531.pdf	txt/fcis-22531.txt