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Работ: 71
Работа: Predicting filter cake thickness in drilling fluids using machine learning techniques
Identification of cyclin protein using gradient boost decision tree algorithm
Hasan Zulfiqar, Shi-Shi Yuan, Qin-Lai Huang +4
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Mohammad Madani, Peyman Abbasi, Alireza Baghban +2
Статья2017Цитирований: 7ABISeepage Characteristics of Broken Carbonaceous Shale under Cyclic Loading and Unloading Conditions
Lei Zhang, Xiaochuan Yuan, Liang Luo +2
Статья2023Цитирований: 7ABIThe linear random forest algorithm and its advantages in machine learning assisted logging regression modeling
Yile Ao, Hongqi Li, Liping Zhu +2
Статья2018Цитирований: 6ABIModeling thermal-induced wellhead growth through the lifecycle of a well
Hao Yu, Zhaoyang Zhao, Arash Dahi Taleghani +2
Статья2024Цитирований: 6ABISeepage Characteristics of Coal under Complex Mining Stress Environment Conditions
Lei Zhang, Liang Luo, Jianzhong Pan +3
Статья2024Цитирований: 6ABINanoparticles in drilling fluid: A review of the state-of-the-art
Обзорная статья2021Цитирований: 6ABIGPR detection localization of underground structures based on deep learning and reverse time migration
Jianwei Lei, Hongyuan Fang, Yining Zhu +5
Статья2024Цитирований: 4ABIFSRF:An Improved Random Forest for Classification
Wenxian Feng, Chenkai Ma, Guozhang Zhao +1
Статья2020Цитирований: 4ABI