Michele Barsanti

Enhancing carbon price point-interval multi-step-ahead prediction using a hybrid framework of autoformer and extreme learning machine with multi-factors

Rapid post-disaster infrastructure damage characterisation using remote sensing and deep learning technologies: A tiered approach

Deep learning models to predict flood events in fast-flowing watersheds

Estimation of the susceptibility of a road network to shallow landslides with the integration of the sediment connectivity