Concepedia

Effect of aggregate size, aggregate to cement ratio and compaction energy on ultrasonic pulse velocity of pervious concrete: prediction by an analytical model and machine learning techniques

Navaratnarajah Sathiparan, Pratheeba Jeyananthan, Daniel Niruban Subramaniam

Asian Journal of Civil Engineering · 2023 · 32 citations · 40 references

References

40

XGBoost

2016 · 48.6K citations · Full text

Computing, Computer Science, Data Science +15

A working guide to boosted regression trees

Jane Elith, John R. Leathwick, Trevor Hastie · Journal of Animal Ecology · 2008 · 6.5K citations · Full text

Computing, Biostatistics, Ecology +14

Machine learning-based compressive strength prediction for concrete: An adaptive boosting approach

De‐Cheng Feng, Zhentao Liu, Xiaodan Wang et al. · Construction and Building Materials · 2019 · 825 citations

Engineering, Civil Engineering, Materials Engineering +13

A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength

Danial Jahed Armaghani, Panagiotis G. Asteris · Neural Computing and Applications · 2020 · 443 citations

Architecture, Civil Engineering, Materials Engineering +16

Predicting the compressive strength of concrete with fly ash admixture using machine learning algorithms

Hongwei Song, Ayaz Ahmad, Furqan Farooq et al. · Construction and Building Materials · 2021 · 365 citations · Full text

Architecture, Materials Engineering, Materials Science +17