Ton Duc Thang University-ko ikertzaileekin lankidetzan egindako argitalpenak (4)

2020

  1. Evaluating the efficiency of different regression, decision tree, and bayesian machine learning algorithms in spatial piping erosion susceptibility using alos/palsar data

    Land, Vol. 9, Núm. 10, pp. 1-22

  2. Head-cut gully erosion susceptibility modelling based on ensemble Random Forest with oblique decision trees in Fareghan watershed, Iran

    Geomatics, Natural Hazards and Risk, Vol. 11, Núm. 1, pp. 2385-2410

  3. TET: An automated tool for evaluating suitable check-dam sites based on sediment trapping efficiency

    Journal of Cleaner Production, Vol. 266

2019

  1. Land subsidence modelling using tree-based machine learning algorithms

    Science of the Total Environment, Vol. 672, pp. 239-252