G. Özcan Et Al. , "Efficient machine learning models for estimation of compressive strengths of zeolite and diatomite substituting concrete in sodium chloride solution," ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING , vol.49, pp.14241-14256, 2024
Özcan, G. Et Al. 2024. Efficient machine learning models for estimation of compressive strengths of zeolite and diatomite substituting concrete in sodium chloride solution. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING , vol.49 , 14241-14256.
Özcan, G., Kocak, B., Gülbandılar, E., & Koçak, Y., (2024). Efficient machine learning models for estimation of compressive strengths of zeolite and diatomite substituting concrete in sodium chloride solution. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING , vol.49, 14241-14256.
Özcan, Gıyasettin Et Al. "Efficient machine learning models for estimation of compressive strengths of zeolite and diatomite substituting concrete in sodium chloride solution," ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING , vol.49, 14241-14256, 2024
Özcan, Gıyasettin Et Al. "Efficient machine learning models for estimation of compressive strengths of zeolite and diatomite substituting concrete in sodium chloride solution." ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING , vol.49, pp.14241-14256, 2024
Özcan, G. Et Al. (2024) . "Efficient machine learning models for estimation of compressive strengths of zeolite and diatomite substituting concrete in sodium chloride solution." ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING , vol.49, pp.14241-14256.
@article{article, author={Gıyasettin Özcan Et Al. }, title={Efficient machine learning models for estimation of compressive strengths of zeolite and diatomite substituting concrete in sodium chloride solution}, journal={ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING}, year=2024, pages={14241-14256} }