F. Khan Et Al. , "Innovative hydrogen production from waste bio-oil via steam methane reforming: An advanced ANN-AHP-k-means modelling approach using extreme machine learning weighted clustering," International Journal of Hydrogen Energy , vol.105, pp.1080-1091, 2025
Khan, F. Et Al. 2025. Innovative hydrogen production from waste bio-oil via steam methane reforming: An advanced ANN-AHP-k-means modelling approach using extreme machine learning weighted clustering. International Journal of Hydrogen Energy , vol.105 , 1080-1091.
Khan, F., Khan, O., Parvez, M., Almujibah, H., Pachauri, P., Yahya, Z., ... Ahamad, T.(2025). Innovative hydrogen production from waste bio-oil via steam methane reforming: An advanced ANN-AHP-k-means modelling approach using extreme machine learning weighted clustering. International Journal of Hydrogen Energy , vol.105, 1080-1091.
Khan, Faisal Et Al. "Innovative hydrogen production from waste bio-oil via steam methane reforming: An advanced ANN-AHP-k-means modelling approach using extreme machine learning weighted clustering," International Journal of Hydrogen Energy , vol.105, 1080-1091, 2025
Khan, Faisal Et Al. "Innovative hydrogen production from waste bio-oil via steam methane reforming: An advanced ANN-AHP-k-means modelling approach using extreme machine learning weighted clustering." International Journal of Hydrogen Energy , vol.105, pp.1080-1091, 2025
Khan, F. Et Al. (2025) . "Innovative hydrogen production from waste bio-oil via steam methane reforming: An advanced ANN-AHP-k-means modelling approach using extreme machine learning weighted clustering." International Journal of Hydrogen Energy , vol.105, pp.1080-1091.
@article{article, author={Faisal Khan Et Al. }, title={Innovative hydrogen production from waste bio-oil via steam methane reforming: An advanced ANN-AHP-k-means modelling approach using extreme machine learning weighted clustering}, journal={International Journal of Hydrogen Energy}, year=2025, pages={1080-1091} }