Applying the Random Forest Method to Improve Burner Efficiency
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- Sungur, Bilal & Basar, Cem & Kaleli, Alirıza, 2023. "Multi-objective optimisation of the emission parameters and efficiency of pellet stove at different supply airflow positions based on machine learning approach," Energy, Elsevier, vol. 278(PA).
- Lefa Zhao & Yafei Zhu & Tianyu Zhao, 2022. "Deep Learning-Based Remaining Useful Life Prediction Method with Transformer Module and Random Forest," Mathematics, MDPI, vol. 10(16), pages 1-15, August.
- Ruslan V. Fedorov & Dmitry A. Generalov & Vyacheslav V. Sherkunov & Valeriy V. Sapunov & Sergey V. Busygin, 2023. "Improving the Efficiency of Fuel Combustion with the Use of Various Designs of Embrasures," Energies, MDPI, vol. 16(11), pages 1-15, May.
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Keywords
mathematical modeling; combustion; emission; combustion chambers; burners; multiclass classification; random forest; aggregated methods; F-measure;All these keywords.
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