The dataset used in this project contains the following columns: datetime: Timestamp of the data.; main_aqi: Main Air Quality Index.; components_co, components_no, components_no2, components_o3, ...

Machine learning model helps forecasters improve confidence in storm prediction Accurate predictions of events like tornadoes and hail four to eight days in advance ...

The proposed Machine Learning (ML) model is promising in prediction context for the Delhi AQI. The results show improvement of the prediction accuracy and suggest that the model can be used in other ...

A deep-learning model called Geneformer has been developed and pretrained using about 30 million single-cell gene-expression profiles to enable it to make predictions about gene-network biology in ...

The project involved building a machine learning model to predict the Air Quality Index (AQI) based on various features such as temperature, humidity, and various pollutant levels. Data Collection: We ...

Abstract: This study scrutinizes five years of Sarajevo’s Air Quality Index (AQI) data using diverse machine learning models — Fourier autoregressive integrated moving average (Fourier ARIMA), Prophet ...

Computer scientists at MIT joined forces with oceanographers to develop a machine-learning model that incorporates knowledge from fluid dynamics to generate more accurate predictions about the ...

CSU machine learning model helps forecasters improve confidence in storm prediction Accurate predictions of events like tornadoes and hail four to eight days in advance Peer-Reviewed Publication ...