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Lee, Ji-Hwan, Lee, Dae-Gyun, Kim, Gyeong-Min, Lee, Byoung-Hwa, Jeon, Chung-Hwan (2024) Prediction of unburned carbon and NOx emissions of solid fuel using petrographic UBC index and artificial neural network. Fuel, 374. 132490 doi:10.1016/j.fuel.2024.132490

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Reference TypeJournal (article/letter/editorial)
TitlePrediction of unburned carbon and NOx emissions of solid fuel using petrographic UBC index and artificial neural network
JournalFuel
AuthorsLee, Ji-HwanAuthor
Lee, Dae-GyunAuthor
Kim, Gyeong-MinAuthor
Lee, Byoung-HwaAuthor
Jeon, Chung-HwanAuthor
Year2024 (October)Volume374
Page(s)132490
PublisherElsevier BV
DOIdoi:10.1016/j.fuel.2024.132490Search in ResearchGate
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Mindat Ref. ID17501847Long-form Identifiermindat:1:5:17501847:7
GUID0
Full ReferenceLee, Ji-Hwan, Lee, Dae-Gyun, Kim, Gyeong-Min, Lee, Byoung-Hwa, Jeon, Chung-Hwan (2024) Prediction of unburned carbon and NOx emissions of solid fuel using petrographic UBC index and artificial neural network. Fuel, 374. 132490 doi:10.1016/j.fuel.2024.132490
Plain TextLee, Ji-Hwan, Lee, Dae-Gyun, Kim, Gyeong-Min, Lee, Byoung-Hwa, Jeon, Chung-Hwan (2024) Prediction of unburned carbon and NOx emissions of solid fuel using petrographic UBC index and artificial neural network. Fuel, 374. 132490 doi:10.1016/j.fuel.2024.132490
In(2024) Fuel Vol. 374. Elsevier BV

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