Machine Learning Applications in Biofuels’ Life Cycle: Soil, Feedstock, Production, Consumption, and Emissions
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Cited by:
- Shelare, Sagar D. & Belkhode, Pramod N. & Nikam, Keval Chandrakant & Jathar, Laxmikant D. & Shahapurkar, Kiran & Soudagar, Manzoore Elahi M. & Veza, Ibham & Khan, T.M. Yunus & Kalam, M.A. & Nizami, Ab, 2023. "Biofuels for a sustainable future: Examining the role of nano-additives, economics, policy, internet of things, artificial intelligence and machine learning technology in biodiesel production," Energy, Elsevier, vol. 282(C).
- Lyes Bennamoun, 2022. "Bioresource Technology for Bioenergy: Development and Trends," Energies, MDPI, vol. 15(5), pages 1-2, February.
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Keywords
bio-energy; artificial intelligence; industry 4.0; biodiesel; biogas; renewable energy; supply chain;All these keywords.
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