Towards Air Quality Forecast in Adverse Conditions: Data Constraints and Extreme Events

Start year: 2024

Summary: This proposal aims to further improve integrated deep learning models within a visualised dashboard to enhance reliable forecasting while addressing the extreme air pollution events.

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.