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Machine learning model with a novel self-adjustment method: A powerful tool for predicting biomass ash fusibility and enhancing its potential applications

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Date of Publication:2024-11-12

Journal:RENEWABLE ENERGY

Volume:237

ISSN No.:0960-1481

Key Words:ALKALI; BEHAVIOR; CHEMICAL-COMPOSITION; CLASSIFICATION; COMBUSTION; FUSION CHARACTERISTICS; HYDROCHAR; PYROLYSIS; STEAM GASIFICATION; TEMPERATURE

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