Exploring the Development of Chinese Digital Resources under Lightweight 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"> </td><td class="align_center">Government data governance indicators (average is 31)</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">&gt;31</td><td class="align_center">Beijing Guangdong Guizhou Shanghai Fujian</td></tr><tr><td class="align_left">≈31</td><td class="align_center">Shandong Ningxia Tianjin Guangxi Hainan Zhejiang Shaanxi Henan Jiangxi Chongqing</td></tr><tr><td class="align_left">&lt;31, &gt;15</td><td class="align_center">Jiangsu Gansu Hubei Yunnan Sichuan Hebei Xinjiang Hunan Inner Mongolia Heilongjiang</td></tr><tr><td class="align_left">&lt;15</td><td class="align_center">Qinghai Anhui Shanxi Liaoning Jilin Tibet</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Government data governance indicators of main areas of China.</div>

Computational Intelligence and Neuroscience

tab7

Table 7

Table 7: Exploring the Development of Chinese Digital Resources under Lightweight Deep Learning 