id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
asir-40025	Li, Huiming	Student Classroom Behavior Detection Algorithm Based on Improved YOLOv8n	2024	9	.pdf	application/pdf	2602	119	48	The recent research of student classroom behavior detection has achieved more accurate detection goals, but there are still problems such as small sample size, weak generalization ability, and slow inference speed. The proposed model shows higher accuracy in detecting student classroom behavior compared to the YOLOv8n baseline model, proving the effectiveness and feasibility of the optimization module.	cache/asir-40025.pdf	txt/asir-40025.txt