English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Air pollution has a significant impact on human production and life, the prediction of air quality’s level is conducive to the relevant departments to take appropriate measures. This paper selects six basic pollutants PM10,PM2.5,SO2,NO2,CO and O3, which are stipulated in the “Ambient Air Quality Standard” (GB3905-2012) issued by China in 2012. Based on the data of air pollutant concentration in Wuhan in October, 2016, a prediction model of air quality grade based on C4.5 decision tree algorithm was established. The experimental results show that the proposed algorithm has an ideal classification prediction effect.

Application of Decision Tree C4.5 Algorithm in Air Quality Evaluation