APA (7th ed.) Citation

Li, J., Abdulmohsin, H. A., Hasan, S. S., Kaiming, L., Al-Khateeb, B., Ghareb, M. I., & Mohammed, M. N. (2019). Hybrid soft computing approach for determining water quality indicator: Euphrates River. Neural Computing & Applications, 31(3), 827. https://doi.org/10.1007/s00521-017-3112-7

Chicago Style (17th ed.) Citation

Li, Jing, Husam Ali Abdulmohsin, Samer Sami Hasan, Li Kaiming, Belal Al-Khateeb, Mazen Ismaeel Ghareb, and Muamer N. Mohammed. "Hybrid Soft Computing Approach for Determining Water Quality Indicator: Euphrates River." Neural Computing & Applications 31, no. 3 (2019): 827. https://doi.org/10.1007/s00521-017-3112-7.

MLA (9th ed.) Citation

Li, Jing, et al. "Hybrid Soft Computing Approach for Determining Water Quality Indicator: Euphrates River." Neural Computing & Applications, vol. 31, no. 3, 2019, p. 827, https://doi.org/10.1007/s00521-017-3112-7.

Warning: These citations may not always be 100% accurate.