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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Currently there are several cities affected with high levels of pollution, due to several things among them, vehicle growth, companies that throw pollutants out in the open because of their industrial processes, garbage and forest fires, among others. In this article we present the proposal of a real-time system that can be monitoring environmental variables in several points of the city and make a prediction of the behavior of these variables. The data comes from data provided by the State Air Quality Information System (SEICA) in the state of Guanajuato. Data filling techniques are applied to complete the missing values, the air quality labeling is done according to the semaphore provided by the SEICA and a transformation is made to the database for the training of the neural network that is used for the prediction of air quality. The acquired data are normalized, grouped, and with them the prediction components are structured, and the statistical and structure analysis is also made.

Utilización de un sistema en tiempo real para la predicción de contaminación del aire