Experimental Study on Prediction for Combustion Optimal Control of Oil-Fired Boilers of Ships Using...
Experimental Study on Prediction for Combustion Optimal Control of Oil-Fired Boilers of Ships Using Color Space Image Feature Analysis and Support Vector Machine
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Publisher
Basel: MDPI AG
Journal title
Language
English
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Publisher
Basel: MDPI AG
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Scope and Contents
Contents
The International Maritime Organization strives to improve the atmospheric environment in oceans and ports by regulating ship emissions of air pollutants and promoting energy efficiency. This study deals with the prediction of eco-friendly combustion in boilers to reduce air pollution emissions. Accurately measuring air pollutants from ship boilers...
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Full title
Experimental Study on Prediction for Combustion Optimal Control of Oil-Fired Boilers of Ships Using Color Space Image Feature Analysis and Support Vector Machine
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TN_cdi_doaj_primary_oai_doaj_org_article_2bbaf9de5c674e22b9c09a23b62aaaed
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2bbaf9de5c674e22b9c09a23b62aaaed
Other Identifiers
ISSN
2077-1312
E-ISSN
2077-1312
DOI
10.3390/jmse11101993
