Managing Large Dataset Gaps in Urban Air Quality Prediction: DCU-Insight-AQ at MediaEval 2022

no code implementations • 19 Dec 2022 • Dinh Viet Cuong, Phuc H. Le-Khac, Adam Stapleton, Elke Eichlemann, Mark Roantree, Alan F. Smeaton

In this work we focus on gap filling in air quality data where the task is to predict the AQI at 1, 5 and 7 days into the future.

Air Pollution Prediction

A Framework for Constructing Machine Learning Models with Feature Set Optimisation for Evapotranspiration Partitioning

no code implementations • 29 Apr 2022 • Adam Stapleton, Elke Eichelmann, Mark Roantree

A deeper understanding of the drivers of evapotranspiration and the modelling of its constituent parts (evaporation and transpiration) could be of significant importance to the monitoring and management of water resources globally over the coming decades.

BIG-bench Machine Learning Feature Importance +1