(21347729), T. G. W., (14779168), U. E., & (17128834), M. S. A. (2022). Machine learning-based shear capacity prediction and reliability analysis of shear-critical RC beams strengthened with inorganic composites.
Chicago Style (17th ed.) Citation(21347729), Tadesse Gemeda Wakjira, Usama Ebead (14779168), and M. Shahria Alam (17128834). Machine Learning-based Shear Capacity Prediction and Reliability Analysis of Shear-critical RC Beams Strengthened with Inorganic Composites. 2022.
MLA (9th ed.) Citation(21347729), Tadesse Gemeda Wakjira, et al. Machine Learning-based Shear Capacity Prediction and Reliability Analysis of Shear-critical RC Beams Strengthened with Inorganic Composites. 2022.
Warning: These citations may not always be 100% accurate.