Al-Mulali, U., Raboshuk, A., Ali, A., Abusham, E. E. A., & Ozturk, I. (2024). Analyzing the prominence of road accidents on environmental pollution: utilizing machine learning through the random forest algorithm. International Journal of Environmental Science and Technology, 1-16. https://doi.org/10.1007/s13762-024-06237-9

AL-MULALI, U., RABOSHUK, A., ALI, A., ABUSHAM, E. E. A. und OZTURK, I., 2024. Analyzing the prominence of road accidents on environmental pollution: utilizing machine learning through the random forest algorithm. International Journal of Environmental Science and Technology. 16 Dezember 2024. P. 1-16. DOI 10.1007/s13762-024-06237-9.

Al-Mulali, U., A. Raboshuk, A. Ali, E. E. A. Abusham, und I. Ozturk. „Analyzing the Prominence of Road Accidents on Environmental Pollution: Utilizing Machine Learning through the Random Forest Algorithm“. International Journal of Environmental Science and Technology, Dezember 2024, S. 1-16, https://doi.org/10.1007/s13762-024-06237-9.

Al-Mulali, U./Raboshuk, A./Ali, A./Abusham, E. E. A./Ozturk, I.: Analyzing the prominence of road accidents on environmental pollution: utilizing machine learning through the random forest algorithm, International Journal of Environmental Science and Technology 2024, 1-16.

Al-Mulali, U., Raboshuk, A., Ali, A., Abusham, E.E.A. und Ozturk, I. (2024), „Analyzing the prominence of road accidents on environmental pollution: utilizing machine learning through the random forest algorithm“, International Journal of Environmental Science and Technology, S. 1-16.