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Exploring the performance of biodiesel-hydrogen blends with diverse nanoparticles in diesel engine: A hybrid machine learning K-means clustering approach with weighted performance metrics
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O. Khan Et Al. , "Exploring the performance of biodiesel-hydrogen blends with diverse nanoparticles in diesel engine: A hybrid machine learning K-means clustering approach with weighted performance metrics," International Journal of Hydrogen Energy , vol.78, pp.547-563, 2024

Khan, O. Et Al. 2024. Exploring the performance of biodiesel-hydrogen blends with diverse nanoparticles in diesel engine: A hybrid machine learning K-means clustering approach with weighted performance metrics. International Journal of Hydrogen Energy , vol.78 , 547-563.

Khan, O., Ali, V., Parvez, M., Alhodaib, A., Yahya, Z., Yadav, A. K., ... AĞBULUT, Ü.(2024). Exploring the performance of biodiesel-hydrogen blends with diverse nanoparticles in diesel engine: A hybrid machine learning K-means clustering approach with weighted performance metrics. International Journal of Hydrogen Energy , vol.78, 547-563.

Khan, Osama Et Al. "Exploring the performance of biodiesel-hydrogen blends with diverse nanoparticles in diesel engine: A hybrid machine learning K-means clustering approach with weighted performance metrics," International Journal of Hydrogen Energy , vol.78, 547-563, 2024

Khan, Osama Et Al. "Exploring the performance of biodiesel-hydrogen blends with diverse nanoparticles in diesel engine: A hybrid machine learning K-means clustering approach with weighted performance metrics." International Journal of Hydrogen Energy , vol.78, pp.547-563, 2024

Khan, O. Et Al. (2024) . "Exploring the performance of biodiesel-hydrogen blends with diverse nanoparticles in diesel engine: A hybrid machine learning K-means clustering approach with weighted performance metrics." International Journal of Hydrogen Energy , vol.78, pp.547-563.

@article{article, author={Osama Khan Et Al. }, title={Exploring the performance of biodiesel-hydrogen blends with diverse nanoparticles in diesel engine: A hybrid machine learning K-means clustering approach with weighted performance metrics}, journal={International Journal of Hydrogen Energy}, year=2024, pages={547-563} }