Nature

A hybrid approach leveraging meta-heuristic and ensemble learning for time-sensitive prediction of pollutant concentrations

Forecasting air pollution levels with precision is crucial for promoting partnerships with governmental bodies and raising public awareness about its risks. Air pollution data are often characterised ...
Nature

Integrated CNN–LSTM–XGBoost hybrid model predicts shale oil seismic attributes and global oil price trends

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...