Prediction of the compressive strength of normal concrete using ensemble machine learning approach

Modeling of strength of high-performance concrete using artificial neural networks

I‐Cheng Yeh · Cement and Concrete Research · 1998 · 1.3K citations

Engineering, Artificial Neural Networks, Civil Engineering +9

CatBoost: unbiased boosting with categorical features

Liudmila Prokhorenkova, Gleb Gusev, Aleksandr Vorobev et al. · arXiv (Cornell University) · 2017 · 1.1K citations · Full text

Engineering, Machine Learning, Categorical Features +17

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 · 769 citations

Engineering, Machine Learning, Data Science +11

Efficient machine learning models for prediction of concrete strengths

Hoang X. Nguyen, Thanh Nguyen Vu, Thuc P. Vo et al. · Construction and Building Materials · 2020 · 449 citations · Full text

Engineering, Machine Learning, Civil Engineering +4

Machine learning in concrete strength simulations: Multi-nation data analytics

Jui‐Sheng Chou, Chih‐Fong Tsai, Anh‐Duc Pham et al. · Construction and Building Materials · 2014 · 432 citations

Engineering, Machine Learning, Data Science +4