日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

Soft-computing models for predicting plastic viscosity and interface yield stress of fresh concrete

用于预测新拌混凝土塑性粘度和界面屈服应力的软计算模型

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-024-77490-8
Inqiad, Waleed Bin; Javed, Muhammad Faisal; Alsekait, Deema Mohammed; Khan, Naseer Muhammad; Khan, Majid; Aslam, Fahid; Elminaam, Diaa Salama Abd
发表日期：2025
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Interpretable machine learning approaches to assess the compressive strength of metakaolin blended sustainable cement mortar

利用可解释的机器学习方法评估偏高岭土混合可持续水泥砂浆的抗压强度

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-025-01327-1
Khan, Naseer Muhammad; Ma, Liqiang; Inqiad, Waleed Bin; Khan, Muhammad Saud; Iqbal, Imtiaz; Emad, Muhammad Zaka; Alarifi, Saad S
发表日期：2025
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Predicting compressive strength of hollow concrete prisms using machine learning techniques and explainable artificial intelligence (XAI)

利用机器学习技术和可解释人工智能（XAI）预测空心混凝土棱柱的抗压强度

期刊:Heliyon
影响因子:3.6
doi:10.1016/j.heliyon.2024.e36841
Bin Inqiad, Waleed; Dumitrascu, Elena Valentina; Dobre, Robert Alexandru; Khan, Naseer Muhammad; Hammood, Abbas Hussein; Henedy, Sadiq N; Khan, Rana Muhammad Asad
发表日期：2024
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Method for rock fracture prediction and early warning: Insight from fusion of multi-physics field information

岩石断裂预测与预警方法：基于多物理场信息融合的启示

期刊:Heliyon
影响因子:3.6
doi:10.1016/j.heliyon.2024.e30660
Gao, Qiangqiang; Ma, Liqiang; Liu, Wei; Khan, Naseer Muhammad; S Alarifi, Saad; Sazid, Mohammed; Inqiad, Waleed Bin
发表日期：2024
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Comparative analysis of various machine learning algorithms to predict 28-day compressive strength of Self-compacting concrete

对多种机器学习算法预测自密实混凝土28天抗压强度的比较分析

期刊:Heliyon
影响因子:3.6
doi:10.1016/j.heliyon.2023.e22036
Inqiad, Waleed Bin; Siddique, Muhammad Shahid; Alarifi, Saad S; Butt, Muhammad Jamal; Najeh, Taoufik; Gamil, Yaser
发表日期：2023
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