Ferreira, F.P.V.; Jeong, S.-H.; Mansouri, E.; Shamass, R.; Tsavdaridis, K.D.; Martins, C.H.; De Nardin, S.
Five Machine Learning Models Predicting the Global Shear Capacity of Composite Cellular Beams with Hollow-Core Units. Buildings 2024, 14, 2256.
https://doi.org/10.3390/buildings14072256
AMA Style
Ferreira FPV, Jeong S-H, Mansouri E, Shamass R, Tsavdaridis KD, Martins CH, De Nardin S.
Five Machine Learning Models Predicting the Global Shear Capacity of Composite Cellular Beams with Hollow-Core Units. Buildings. 2024; 14(7):2256.
https://doi.org/10.3390/buildings14072256
Chicago/Turabian Style
Ferreira, Felipe Piana Vendramell, Seong-Hoon Jeong, Ehsan Mansouri, Rabee Shamass, Konstantinos Daniel Tsavdaridis, Carlos Humberto Martins, and Silvana De Nardin.
2024. "Five Machine Learning Models Predicting the Global Shear Capacity of Composite Cellular Beams with Hollow-Core Units" Buildings 14, no. 7: 2256.
https://doi.org/10.3390/buildings14072256
APA Style
Ferreira, F. P. V., Jeong, S. -H., Mansouri, E., Shamass, R., Tsavdaridis, K. D., Martins, C. H., & De Nardin, S.
(2024). Five Machine Learning Models Predicting the Global Shear Capacity of Composite Cellular Beams with Hollow-Core Units. Buildings, 14(7), 2256.
https://doi.org/10.3390/buildings14072256
