Cita APA (7a ed.)
Ram Talib, N. S., Halmi, M. I. E., Abd Ghani, S. S., Zaidan, U. H., & Shukor, M. Y. A. (2019, May 26). Artificial Neural Networks (ANNs) and Response Surface Methodology (RSM) Approach for Modelling the Optimization of Chromium (VI) Reduction by Newly Isolated Acinetobacter radioresistens Strain NS-MIE from Agricultural Soil. BioMed Research International, 1-15.
Cita Chicago Style (17a ed.)
Ram Talib, Nur Syuhadah, Mohd Izuan Effendi Halmi, Siti Salwa Abd Ghani, Uswatun Hasanah Zaidan, y Mohd Yunus Abd Shukor. "Artificial Neural Networks (ANNs) and Response Surface Methodology (RSM) Approach for Modelling the Optimization of Chromium (VI) Reduction by Newly Isolated Acinetobacter Radioresistens Strain NS-MIE from Agricultural Soil." BioMed Research International 26 May. 2019: 1-15.
Cita MLA (9a ed.)
Ram Talib, Nur Syuhadah, et al. "Artificial Neural Networks (ANNs) and Response Surface Methodology (RSM) Approach for Modelling the Optimization of Chromium (VI) Reduction by Newly Isolated Acinetobacter Radioresistens Strain NS-MIE from Agricultural Soil." BioMed Research International, 26 May. 2019, pp. 1-15.
Precaución: Estas citas no son 100% exactas.