DGCA3QM: DESIGN OF A DUAL GENETIC ALGORITHM BASED AUTOREGRESSION MODEL FOR CORRELATIVE PREDICTION OF AIR QUALITY METRICS

DGCA3QM: DESIGN OF A DUAL GENETIC ALGORITHM BASED AUTOREGRESSION MODEL FOR CORRELATIVE PREDICTION OF AIR QUALITY METRICS

Prediction of air quality metrics is a multidomain task that involves analysis of different inter-related parameters.These parameters include, type of location, NO2 levels, SO2 levels, Respirable Suspended Particulate Matter (RSPM) levels, Fine particulate matter (PM2.5) levels, etc.Researchers have proposed a wide variety of models to predict air

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Trade and economic relations between the EAEU member states and the countries of Latin America and the Caribbean at the present stage: the cases of Armenia and Kazakhstan

In the context of a changing world order, the development of regional integration processes is an important trigger for the inclusion of countries in the world economy and increasing the sustainability of national economies.Integration processes contribute to deepening of the interdependence of different countries, as well as to the expansion of th

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