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Modeling oblique load carrying capacity of batter pile groups using neural network, random forest regression and M5 model tree (2018)
Journal Article

M5 model tree, random forest regression (RF) and neural network (NN) based modelling approaches were used to predict oblique load carrying capacity of batter pile groups using 247 laboratory experiments with smooth and rough pile groups. Pile length... Read More about Modeling oblique load carrying capacity of batter pile groups using neural network, random forest regression and M5 model tree.

Spatial analysis and simulation of extreme coastal flooding scenarios for national-scale emergency planning (2016)
Presentation / Conference Contribution

The UK has a long history of coastal flooding, driven by large-scale low-pressure weather systems which can result in flooding over large spatial areas. Traditional coastal flood risk analysis is, however, often undertaken at local scales and hence d... Read More about Spatial analysis and simulation of extreme coastal flooding scenarios for national-scale emergency planning.