A data-driven model for predicting fatigue performance of high-strength steel wires based on optimized XGBOOST

Grey Wolf Optimizer

Seyedali Mirjalili, Seyed Mohammad Mirjalili, Seyed Mohammad Mirjalili et al. · Advances in Engineering Software · 2014 · 18.4K citations · Full text

From local explanations to global understanding with explainable AI for trees

Scott Lundberg, Gabriel Erion, Hugh Chen et al. · Nature Machine Intelligence · 2020 · 8.9K citations · Full text

Computing, Computer Science, Data Science +16

Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration

Yingui Qiu, Jian Zhou, Manoj Khandelwal et al. · Engineering With Computers · 2021 · 479 citations

Engineering, Civil Engineering, Mining Engineering +15

A machine-learning fatigue life prediction approach of additively manufactured metals

Hongyixi Bao, Shengchuan Wu, Zhengkai Wu et al. · Engineering Fracture Mechanics · 2020 · 313 citations · Full text

Natural Sciences, Materials Engineering, Materials Science +12

Tensile and fatigue behavior of corroded rebars

Weiping Zhang, Xiaobin Song, Xianglin Gu et al. · Construction and Building Materials · 2012 · 307 citations

Natural Sciences, Materials Engineering, Materials Science +14