Experimental analysis and machine learning prediction of biomethane potential from organic food waste: lab-scale and semi pilot-scale approaches
- DOI
- 10.1080/19397038.2025.2573282
- Published
- 12
- Container
- International Journal of Sustainable Engineering
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1080/19397038.2025.2573282,
title = {Experimental analysis and machine learning prediction of biomethane potential from organic food waste: lab-scale and semi pilot-scale approaches},
author = {Saad Nadeem and Talha Hasan Khan and Tooba Naveed and Muhammad Saad Khan and Muhammad Yasir and Alexis Mounge Nanimina and Muhammad Mubashir},
year = {2025},
journal = {International Journal of Sustainable Engineering},
doi = {10.1080/19397038.2025.2573282},
url = {https://doi.org/10.1080/19397038.2025.2573282}
}RIS
TY - JOUR TI - Experimental analysis and machine learning prediction of biomethane potential from organic food waste: lab-scale and semi pilot-scale approaches AU - Saad Nadeem AU - Talha Hasan Khan AU - Tooba Naveed AU - Muhammad Saad Khan AU - Muhammad Yasir AU - Alexis Mounge Nanimina AU - Muhammad Mubashir PY - 2025 JO - International Journal of Sustainable Engineering DO - 10.1080/19397038.2025.2573282 UR - https://doi.org/10.1080/19397038.2025.2573282 ER -
APA
Nadeem, S., Khan, T. H., Naveed, T., Khan, M. S., Yasir, M., Nanimina, A. M., & Mubashir, M. (2025). Experimental analysis and machine learning prediction of biomethane potential from organic food waste: lab-scale and semi pilot-scale approaches. International Journal of Sustainable Engineering. https://doi.org/10.1080/19397038.2025.2573282
Source records
- doaj · retrieved 2026-09-26T18:03:41.317Z