Improved Convolutional Neural Networks for Course Teaching Quality Assessment

Improved Convolutional Neural Networks for Course Teaching Quality Assessment

The cultivation of innovative talents is closely related to the quality of course teaching, and there is a correlation between facial expressions and the effectiveness of classroom teaching. In this paper, a separate long-term recursive convolutional network (SLRCN) microexpression recognition algor...

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Bibliographic Details
Main Author:	Yun Liu
Format:	Article
Language:	English
Published:	Wiley 2022-01-01
Series:	Advances in Multimedia
Online Access:	http://dx.doi.org/10.1155/2022/4395307
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