Nazerian, M.; Akbarzade, M.; Ghorbanezdad, P.; Papadopoulos, A.N.; Vatankhah, E.; Foti, D.; Koosha, M.
Optimal Modified Starch Content in UF Resin for Glulam Based on Bonding Strength Using Artificial Neural Network. J. Compos. Sci. 2022, 6, 279.
https://doi.org/10.3390/jcs6100279
AMA Style
Nazerian M, Akbarzade M, Ghorbanezdad P, Papadopoulos AN, Vatankhah E, Foti D, Koosha M.
Optimal Modified Starch Content in UF Resin for Glulam Based on Bonding Strength Using Artificial Neural Network. Journal of Composites Science. 2022; 6(10):279.
https://doi.org/10.3390/jcs6100279
Chicago/Turabian Style
Nazerian, Morteza, Masood Akbarzade, Payam Ghorbanezdad, Antonios N. Papadopoulos, Elham Vatankhah, Dafni Foti, and Mojtaba Koosha.
2022. "Optimal Modified Starch Content in UF Resin for Glulam Based on Bonding Strength Using Artificial Neural Network" Journal of Composites Science 6, no. 10: 279.
https://doi.org/10.3390/jcs6100279
APA Style
Nazerian, M., Akbarzade, M., Ghorbanezdad, P., Papadopoulos, A. N., Vatankhah, E., Foti, D., & Koosha, M.
(2022). Optimal Modified Starch Content in UF Resin for Glulam Based on Bonding Strength Using Artificial Neural Network. Journal of Composites Science, 6(10), 279.
https://doi.org/10.3390/jcs6100279