Machine learning for air quality forecasting: Insights from five provinces of Rwanda

Explainable PSO-optimised machine learning models for multi-pollutant air quality forecasting in major African cities with transfer learning

Poor air quality is responsible for deaths, particularly in African cities, where rapid urbanisation

Leveraging low-cost sensors and machine learning for air quality insights in an urban location of Zimbabwe: A case study

Predicting Air Quality Index in Accra using Machine Learning

Abstract Air quality is a significant public health issue, and accurate predictions of the

Comparative Analysis of Machine Learning Models for Predicting Rice Yield: Insights from Agricultural Inputs and Practices in Rwanda

Air Quality Index Prediction Using Machine Learning Algorithms for Certain Locations in Nigeria

Prediction of air quality index for certain locations in Nigeria has been carried out. The data used

HyBeek/air-quality-analytics-and-forecasting

End-to-end data analytics and time series forecasting of PM2.5 air pollution using real-world enviro