APA (7th ed.) Citation

Hamid, H. A., Jenidi, Y., Thielemans, W., Somerfield, C., & Gomes, R. L. (2016). Predicting the capability of carboxylated cellulose nanowhiskers for the remediation of copper from water using response surface methodology (RSM) and artificial neural network (ANN) models. Elsevier.

Chicago Style (17th ed.) Citation

Hamid, Hazren A., Youla Jenidi, Wim Thielemans, Christopher Somerfield, and Rachel L. Gomes. Predicting the Capability of Carboxylated Cellulose Nanowhiskers for the Remediation of Copper from Water Using Response Surface Methodology (RSM) and Artificial Neural Network (ANN) Models. Elsevier, 2016.

MLA (9th ed.) Citation

Hamid, Hazren A., et al. Predicting the Capability of Carboxylated Cellulose Nanowhiskers for the Remediation of Copper from Water Using Response Surface Methodology (RSM) and Artificial Neural Network (ANN) Models. Elsevier, 2016.