APA (7th ed.) Citation

N’guessan, A., Dali, B., Esmel, E. A., Moussé, L. M., Ziao, N., N’guessan, R. K., & Megnassan, E. (2025). Pollution risk assessment by designing predictive binary classification models of substituted benzenes centered on data mining and machine learning techniques. Environmental science and pollution research international, 32(35), 21092-21116. https://doi.org/10.1007/s11356-025-36874-7

Chicago Style (17th ed.) Citation

N’guessan, Aubin, Brice Dali, Elvice Akori Esmel, Logbo Mathias Moussé, Nahossé Ziao, Raymond Kré N’guessan, and Eugene Megnassan. "Pollution Risk Assessment by Designing Predictive Binary Classification Models of Substituted Benzenes Centered on Data Mining and Machine Learning Techniques." Environmental Science and Pollution Research International 32, no. 35 (2025): 21092-21116. https://doi.org/10.1007/s11356-025-36874-7.

MLA (9th ed.) Citation

N’guessan, Aubin, et al. "Pollution Risk Assessment by Designing Predictive Binary Classification Models of Substituted Benzenes Centered on Data Mining and Machine Learning Techniques." Environmental Science and Pollution Research International, vol. 32, no. 35, 2025, pp. 21092-21116, https://doi.org/10.1007/s11356-025-36874-7.