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Rabee Shamass

Brunel University of London

24H指数
79论文数
1.4K被引数
收录论文 40
发表时间
Inverse machine learning for the design of perforated beams: Parent section and material prediction穿孔梁设计的逆向机器学习:母截面和材料预测
err2025-11-22
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PREAI
errSina Sarfarazi; Rabee Shamass; Musab Rabi; Ikram Abarkan; Felipe Piana Vendramell Ferreira; Konstantinos Daniel Tsavdaridis
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Deflection Predictions of Tapered Cellular Steel Beams Using Analytical Models and an Artificial Neural Network
err2025-03-20
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errOAAI
errOsmani, Amine; Shamass, Rabee; Tsavdaridis, Konstantinos Daniel; Ferreira, Felipe Piana Vendramell; Khatir, Abdelwahhab
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Carbonated Aggregates and Basalt Fiber-Reinforced Polymers: Advancing Sustainable Concrete for Structural Use
err2025-02-26
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errOAAI
errShamass, Rabee; Limbachiya, Vireen; Ajibade, Oluwatoyin; Rabi, Musab; Lopez, Hector Ulises Levatti; Zhou, Xiangming
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Advanced predictive modeling of shear strength in stainless-steel column web panels using explainable AI insights
err2024-12-01
err0
errOAAI
errSarfarazi, Sina; Shamass, Rabee; Guarracino, Federico; Mascolo, Ida; Modano, Mariano
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Five Machine Learning Models Predicting the Global Shear Capacity of Composite Cellular Beams with Hollow-Core Units
err2024-07-22
err3
errOAAI
errFerreira, Felipe Piana Vendramell; Jeong, Seong-Hoon; Mansouri, Ehsan; Shamass, Rabee; Tsavdaridis, Konstantinos Daniel; Martins, Carlos Humberto; De Nardin, Silvana
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Machine learning-driven web-post buckling resistance prediction for high-strength steel beams with elliptically-based web openings
err2024-03-01
err10
errOAAI
errRabi, Musab; Jweihan, Yazeed S.; Abarkan, Ikram; Ferreira, Felipe Piana Vendramell; Shamass, Rabee; Limbachiya, Vireen; Tsavdaridis, Konstantinos Daniel; Santos, Luis Fernando Pinho
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Web-post buckling resistance calculation of perforated high-strength steel beams with elliptically-based web openings for EC3
err2023-09-01
err5
errOAAI
errFerreira, Felipe Piana Vendramell; Shamass, Rabee; Santos, Luis Fernando Pinho; Tsavdaridis, Konstantinos Daniel; Limbachiya, Vireen
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Prediction of the cross-sectional capacity of cold-formed CHS using numerical modelling and machine learning
err2023-03-01
err24
errOAAI
errRabi, Musab; Ferreira, Felipe Piana Vendramell; Abarkan, Ikram; Limbachiya, Vireen; Shamass, Rabee
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