Determination of compressive strength of perlite-containing slag-based geopolymers and its prediction using artificial neural network and regression-based methods

Greedy function approximation: A gradient boosting machine.

Jerome H. Friedman · The Annals of Statistics · 2001 · 27.3K citations · Full text

Engineering, Machine Learning, Data Mining +13

Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations

Daniel N. Moriasi, J. G. Arnold, M. W. Van Liew et al. · Transactions of the ASABE · 2007 · 12.8K citations

Model Evaluation Guidelines, Engineering, Watershed Simulations +16

Multivariate Adaptive Regression Splines

Jerome H. Friedman · The Annals of Statistics · 1991 · 8K citations · Full text

Engineering, Multivariate Analysis, Data Science +15

The role of inorganic polymer technology in the development of ‘green concrete’

Peter Duxson, John L. Provis, Grant C. Lukey et al. · Cement and Concrete Research · 2007 · 1.9K citations

Materials Science, Inorganic Polymer Technology, Chemical Engineering +9

Understanding the relationship between geopolymer composition, microstructure and mechanical properties

Peter Duxson, John L. Provis, Grant C. Lukey et al. · Colloids and Surfaces A Physicochemical and Engineering Aspects · 2005 · 1.7K citations

Materials Science, Engineering, Mechanical Properties +5