Image segmentation and CNN-based deep learning architectures for the modelling on particulate matter formation during solid fuels combustion
Three typical solid fuels (coal, biomass, and refuse-derived fuel) were individually combusted in a lab-scale drop tube furnace. The computer Vision method was employed to extract the morphological characteristics of particulate matter (PM) and establish a dataset of 12,637 particle features. Six co...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
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| Series: | Fuel Processing Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0378382024001462 |
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