Golafshani, Emad, Khodadadi, Nima, Ngo, Tuan, Nanni, Antonio, and Behnood, Ali. Modelling the compressive strength of geopolymer recycled aggregate concrete using ensemble machine learning. Retrieved from https://par.nsf.gov/biblio/10538752. Advances in Engineering Software 191.C Web. doi:10.1016/j.advengsoft.2024.103611.

Golafshani, Emad, Khodadadi, Nima, Ngo, Tuan, Nanni, Antonio, & Behnood, Ali. Modelling the compressive strength of geopolymer recycled aggregate concrete using ensemble machine learning. Advances in Engineering Software, 191 (C). Retrieved from https://par.nsf.gov/biblio/10538752. https://doi.org/10.1016/j.advengsoft.2024.103611

Golafshani, Emad, Khodadadi, Nima, Ngo, Tuan, Nanni, Antonio, and Behnood, Ali. "Modelling the compressive strength of geopolymer recycled aggregate concrete using ensemble machine learning". Advances in Engineering Software 191 (C). Country unknown/Code not available: Elsevier. https://doi.org/10.1016/j.advengsoft.2024.103611. https://par.nsf.gov/biblio/10538752.

@article{osti_10538752,
place = {Country unknown/Code not available}, title = {Modelling the compressive strength of geopolymer recycled aggregate concrete using ensemble machine learning}, url = {https://par.nsf.gov/biblio/10538752}, DOI = {10.1016/j.advengsoft.2024.103611}, abstractNote = {}, journal = {Advances in Engineering Software}, volume = {191}, number = {C}, publisher = {Elsevier}, author = {Golafshani, Emad and Khodadadi, Nima and Ngo, Tuan and Nanni, Antonio and Behnood, Ali}, }