Rough set-based machine learning for prediction of biochar properties produced through microwave pyrolysis
Author:
Funder
Science and Engineering Research Board
Publisher
Springer Science and Business Media LLC
Subject
Renewable Energy, Sustainability and the Environment
Link
https://link.springer.com/content/pdf/10.1007/s13399-023-04987-z.pdf
Reference55 articles.
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2. Liu WJ, Jiang H, Yu HQ (2019) Emerging applications of biochar-based materials for energy storage and conversion. Energy Environ Sci 12(6):1751–1779. https://doi.org/10.1039/C9EE00206E
3. Das SK, Ghosh GK, Avasthe R (2020) Valorizing biomass to engineered biochar and its impact on soil, plant, water, and microbial dynamics: a review. Biomass Convers Biorefin 12:1–17. https://doi.org/10.1007/s13399-020-00836-5
4. Fazal T, Faisal A, Mushtaq A, Hafeez A, Javed F, Alaud Din A et al (2021) Macroalgae and coal-based biochar as a sustainable bioresource reuse for treatment of textile wastewater. Biomass Convers Biorefin 11:1491–1506. https://doi.org/10.1007/s13399-019-00555-6
5. Behera B, Dey B, Balasubramanian P (2020) Algal biodiesel production with engineered biochar as a heterogeneous solid acid catalyst. Bioresour Technol 310:123392. https://doi.org/10.1016/j.biortech.2020.123392
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