id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-20193	Jiang, Hao; Li, Lin	Anomaly Detection for Landslide Displacement Monitoring Data Based on TCN-Transformer	2024	5	.pdf	application/pdf	3107	168	41	The purpose of this study is to explore the method of classification and early warning of landslide displacement monitoring data using TCN Attention model, and to verify its effectiveness and feasibility through experiments. TCN Attention model combines the advantages of convolutional neural network (CNN) and attention mechanism, enhances the extraction of key time features and importance weighting through attention mechanism, thus improving the classification and prediction ability of the model for landslide displacement data.	cache/ajst-20193.pdf	txt/ajst-20193.txt