Onyelowe, K.C.; Ebid, A.M.; Egwu, U.; Onyia, M.E.; Onah, H.N.; Nwobia, L.I.; Onwughara, I.; Firoozi, A.A.
Erodibility of Nanocomposite-Improved Unsaturated Soil Using Genetic Programming, Artificial Neural Networks, and Evolutionary Polynomial Regression Techniques. Sustainability 2022, 14, 7403.
https://doi.org/10.3390/su14127403
AMA Style
Onyelowe KC, Ebid AM, Egwu U, Onyia ME, Onah HN, Nwobia LI, Onwughara I, Firoozi AA.
Erodibility of Nanocomposite-Improved Unsaturated Soil Using Genetic Programming, Artificial Neural Networks, and Evolutionary Polynomial Regression Techniques. Sustainability. 2022; 14(12):7403.
https://doi.org/10.3390/su14127403
Chicago/Turabian Style
Onyelowe, Kennedy C., Ahmed M. Ebid, Uchenna Egwu, Michael E. Onyia, Hyginus N. Onah, Light I. Nwobia, Izuchukwu Onwughara, and Ali Akbar Firoozi.
2022. "Erodibility of Nanocomposite-Improved Unsaturated Soil Using Genetic Programming, Artificial Neural Networks, and Evolutionary Polynomial Regression Techniques" Sustainability 14, no. 12: 7403.
https://doi.org/10.3390/su14127403
APA Style
Onyelowe, K. C., Ebid, A. M., Egwu, U., Onyia, M. E., Onah, H. N., Nwobia, L. I., Onwughara, I., & Firoozi, A. A.
(2022). Erodibility of Nanocomposite-Improved Unsaturated Soil Using Genetic Programming, Artificial Neural Networks, and Evolutionary Polynomial Regression Techniques. Sustainability, 14(12), 7403.
https://doi.org/10.3390/su14127403
