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M

Majid Khan

Southern Illinois University System

19H指数
44论文数
1.2K被引数
收录论文 30
发表时间
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Interpretable machine learning models for predicting penetration depth in ultra-high-performance concrete under ballistic impact
errSTRUCTURAL CONCRETE
IF3.3
err2026-01-01
err0
PREAI
errAbid, Khasim Ali; Syed, Sajid Ahmed; Khan, Majid
err分享
err收藏
An Interpretable Machine Learning Approach for Predicting the End-Bearing Capacity of Rock-Socketed Piles一种用于预测岩石套筒桩端承承载力的可解释机器学习方法
errTransportation Infrastructure Geotechnology
IF2.3
err2025-12-05
err0
PREAI
errAbdul Aziz; Laiba Gulaly; Majid Khan
err分享
err收藏
Predicting residual strength of hybrid fibre-reinforced Self-compacting concrete (HFR-SCC) exposed to elevated temperatures using machine learning (Vol 22, pg 1, 2025)
errCASE STUDIES IN CONSTRUCTION MATERIALS
IF6.6
err2025-12-01
err0
errOAAI
errKhan, Muhammad Saud; Ma, Liqiang; Bin Inqiad, Waleed; Khan, Majid; Khan, Naseer Muhammad; Alarifi, Saad S.
err分享
err收藏
Interpretable Data-Driven Modeling of Bridge Pier Scour Using Gene Expression Programming and Physics-Informed Neural Networks基于基因表达式编程和物理信息神经网络的桥梁桥墩冲刷可解释数据驱动建模
errTransportation Infrastructure Geotechnology
IF2.3
err2025-11-13
err0
PREAI
errLaiba Gulaly; Majid Khan; Husna Usman; Aaila Asghar
err分享
err收藏
Interpretable machine learning approach for predicting the workability and mechanical properties of betel nut husk fiber-reinforced concrete可解释机器学习方法预测槟榔壳纤维增强混凝土的工作性和力学性能
errStructures
IF4.3
err2025-09-09
err0
PREAI
errMehedi Hasan; Md Soumike Hassan; Kamrul Hasan; Fazlul Hoque Tushar; Majid Khan; Ramadhansyah Putra Jaya
err分享
err收藏
An interpretable machine learning approach for predicting reinforcement bond performance in 3D concrete printing一种用于预测3D混凝土打印中钢筋粘结性能的可解释机器学习方法
errMULTISCALE AND MULTIDISCIPLINARY MODELING EXPERIMENTS AND DESIGN
IF2
err2025-09-03
err0
PREAI
errSyed, Sajid Ahmed; Abid, Khasim Ali; Khan, Majid
err分享
err收藏
Prediction of Unconfined Compressive Strength of Sands Treated with Microbially-Induced Calcite Precipitation Using a Hybrid Machine Learning Model基于微生物诱导碳酸钙沉淀处理的砂土无侧限抗压强度的混合机器学习模型预测
errTransportation Infrastructure Geotechnology
IF2.3
err2025-08-29
err0
PREAI
errHusna Usman; Majid Khan; Waseem Akhtar Khan
err分享
err收藏
Predicting residual strength of hybrid fibre-reinforced Self-compacting concrete (HFR-SCC) exposed to elevated temperatures using machine learning使用机器学习预测暴露于高温的混合纤维增强自密实混凝土 (hfr-scc) 的残余强度
errCASE STUDIES IN CONSTRUCTION MATERIALS
IF6.6
err2025-07-01
err2
PREAI
errKhan, Muhammad Saud; Ma, Liqiang; Bin Inqiad, Waleed; Khan, Majid; Khan, Naseer Muhammad; Alarifi, Saad S.
err分享
err收藏
Soft-computing models for predicting plastic viscosity and interface yield stress of fresh concrete
errSCIENTIFIC REPORTS
IF3.9
err2025-03-28
err0
errOAAI
errBin Inqiad, Waleed; Javed, Muhammad Faisal; Alsekait, Deema Mohammed; Khan, Naseer Muhammad; Khan, Majid; Aslam, Fahid; Abd Elminaam, Diaa Salama
err分享
err收藏
Predicting penetration depth in ultra-high-performance concrete targets under ballistic impact: An interpretable machine learning approach augmented by deep generative adversarial network
errRESULTS IN ENGINEERING
IF7.9
err2025-03-01
err0
errOAAI
errKhan, Majid; Javed, Muhammad Faisal; Othman, Nashwan Adnan; Rehman, Sardar Kashif Ur; Ahmad, Furqan
err分享
err收藏
Data-driven models for predicting compressive strength of 3D-printed fiber-reinforced concrete using interpretable machine learning algorithms
errCASE STUDIES IN CONSTRUCTION MATERIALS
IF6.6
err2024-12-01
err6
errOAAI
errArif, Muhammad; Jan, Faizullah; Rezzoug, Aissa; Afridi, Muhammad Ali; Luqman, Muhammad; Khan, Waseem Akhtar; Kujawa, Marcin; Alabduljabbar, Hisham; Khan, Majid
err分享
err收藏
Leveraging machine learning to model salinity and water flux for improved insights into forward osmosis membrane bioreactors
errJOURNAL OF WATER PROCESS ENGINEERING
IF6.7
err2024-12-01
err0
PREAI
errAldrees, Ali; Siddiq, Bilal; Al-Rashed, Wael S.; Javed, Muhammad Faisal; Khan, Majid
err分享
err收藏
Metaheuristic optimization algorithms-based prediction modeling for titanium dioxide-Assisted photocatalytic degradation of air contaminants
errRESULTS IN ENGINEERING
IF7.9
err2024-09-01
err13
errOAAI
errJaved, Muhammad Faisal; Siddiq, Bilal; Onyelowe, Kennedy; Khan, Waseem Akhtar; Khan, Majid
err分享
err收藏
Optimized prediction modeling of micropollutant removal efficiency in forward osmosis membrane systems using explainable machine learning algorithms
errJOURNAL OF WATER PROCESS ENGINEERING
IF6.7
err2024-09-01
err4
PREAI
errAldrees, Ali; Javed, Muhammad Faisal; Khan, Majid; Siddiq, Bilal
err分享
err收藏
Predictive modeling for compressive strength of 3D printed fiber-reinforced concrete using machine learning algorithms基于机器学习算法的3D打印纤维混凝土抗压强度预测建模
errCASE STUDIES IN CONSTRUCTION MATERIALS
IF6.6
err2024-07-01
err51
errOAAI
errAlyami, Mana; Khan, Majid; Fawad, Muhammad; Nawaz, R.; Hammad, Ahmed W. A.; Najeh, Taoufik; Gamil, Yaser
err分享
err收藏
Estimating compressive strength of concrete containing rice husk ash using interpretable machine learning-based models使用可解释的基于机器学习的模型估算含稻壳灰的混凝土的抗压强度
errCASE STUDIES IN CONSTRUCTION MATERIALS
IF6.6
err2024-07-01
err34
errOAAI
errAlyami, Mana; Nassar, Roz-Ud-Din; Khan, Majid; Hammad, Ahmed W. A.; Alabduljabbar, Hisham; Nawaz, R.; Fawad, Muhammad; Gamil, Yaser
err分享
err收藏
Predictive modeling for depth of wear of concrete modified with fly ash: A comparative analysis of genetic programming-based algorithms
errCASE STUDIES IN CONSTRUCTION MATERIALS
IF6.6
err2024-07-01
err20
errOAAI
errKhan, Adil; Khan, Majid; Ali, Mohsin; Khan, Murad; Khan, Asad Ullah; Shakeel, Muhammad; Fawad, Muhammad; Najeh, Taoufik; Gamil, Yaser
err分享
err收藏
Comparative analysis of various machine learning algorithms to predict strength properties of sustainable green concrete containing waste foundry sand
errSCIENTIFIC REPORTS
IF3.9
err2024-06-25
err13
errOAAI
errJaved, Muhammad Faisal; Khan, Majid; Fawad, Muhammad; Alabduljabbar, Hisham; Najeh, Taoufik; Gamil, Yaser
err分享
err收藏
Application of metaheuristic algorithms for compressive strength prediction of steel fiber reinforced concrete exposed to high temperatures元启发式算法在高温下钢纤维混凝土抗压强度预测中的应用
errMATERIALS TODAY COMMUNICATIONS
IF4.5
err2024-06-01
err10
PREAI
errJaved, Muhammad Faisal; Khan, Majid; Nehdi, Moncef L.; Abuhussain, Maher
err分享
err收藏
Computational prediction of workability and mechanical properties of bentonite plastic concrete using multi-expression programming
errSCIENTIFIC REPORTS
IF3.9
err2024-03-13
err16
errOAAI
errKhan, Majid; Ali, Mujahid; Najeh, Taoufik; Gamil, Yaser
err分享
err收藏

研究方向

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合作学者
合作期刊
M
Moncef L. Nehdi
H 指数: 69 · 论文数: 427
A
Asad U. Khan
H 指数: 64 · 论文数: 458
M
Muhammad Faisal Javed
H 指数: 54 · 论文数: 249
R
Rayed Alyousef
H 指数: 53 · 论文数: 192
F
Fahid Aslam
H 指数: 52 · 论文数: 136
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