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

The need to monitor air quality has become fundamental for humanity, since poor quality represents a serious threat in terms of health, especially for a certain type of particle whose behavior is not linear, such as the PM10 particle. In this contribution the objective is to optimize the model generated by ANFIS for pollutant particles using swarm intelligence algorithms. Specifically, BFOA is used for optimization, demonstrating that it is possible to reduce the error of the ANFIS model, to verify the effectiveness of the proposed model, several experiments were carried out with the data and parameters of the BFO algorithm.

Propuesta de mejora de modelado de partículas contaminantes PM10 mediante algoritmos de inteligencia colectiva de bacteria BFOA