An Integrated Model for On-Site Teaching Quality Evaluation Based on Deep Learning

<table class="table-group" id="tab7"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Model</td><td class="align_center">Accuracy (%)</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">DLP-CNN</td><td class="align_center">84.22</td></tr><tr><td class="align_left">IPA2LT</td><td class="align_center">86.77</td></tr><tr><td class="align_left">gaCNN</td><td class="align_center">85.07</td></tr><tr><td class="align_left">RAN</td><td class="align_center">86.90</td></tr><tr><td class="align_left"><b>SCN</b></td><td class="align_center"><b>87.39</b></td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Comparison of results from RAF-DB datasets.</div>

Wireless Communications and Mobile Computing

tab7

Table 7

Table 7: An Integrated Model for On-Site Teaching Quality Evaluation Based on Deep Learning 