Article detail · 2022
A comparison of machine learning algorithms for estimation of higher heating values of biomass and fossil fuels from ultimate analysis
YÖKSİS
OpenAlex
SJR Q1
JCR Q1
Citations 81
Top 10%
Percentile 96.7%
FWCI 4.91
- Year
- 2022
- Type
- article
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- YÖKSİS YÖKSİS article record
- YÖKSİS venue FUEL
- Catalog match (ISSN) Fuel
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
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Citations
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81 citations
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41 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- Higher heating value estimation of wastes and fuels from ultimate and proximate analysis by using artificial neural networks 2024
- Higher heating value estimation of wastes and fuels from ultimate and proximate analysis by using artificial neural networks 2024
- Higher heating value estimation of wastes and fuels from ultimate and proximate analysis by using artificial neural networks 2024
- A systematic review on smart waste biomass production using machine learning and deep learning 2023
- Utilization of machine learning algorithms in estimation of syngas fractions and exergy values for gasification of biomass-lignite mixtures in fixed and fluidized bed gasifiers 2025
- Utilization of machine learning algorithms in estimation of syngas fractions and exergy values for gasification of biomass-lignite mixtures in fixed and fluidized bed gasifiers 2025
- A machine learning based regression methods to predicting syngas composition for plasma gasification system 2025
- Utilization of machine learning algorithms in estimation of syngas fractions and exergy values for gasification of biomass-lignite mixtures in fixed and fluidized bed gasifiers 2025
- Development of prediction software to describe total mesophilic bacteria in spinach using a machine learning-based regression approach 2025
- Development of prediction software to describe total mesophilic bacteria in spinach using a machine learning-based regression approach 2025