Robust biochar yield and composition prediction via uncertainty-aware ResNet-based autoencoder
Abstract With growing demand for energy and fossil fuels, biomass and biochar are gaining attention due to their abundance and sustainability. However, there is a crucial need for optimizing production conditions and minimizing environmental risks associated with biochar production. Machine learning...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-03-01
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| Series: | Biochar |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42773-025-00446-2 |
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