Explainable machine learning for predicting thermogravimetric analysis of oxidatively torrefied spent coffee grounds combustion
| dc.contributor.author | Suluh Pambudi | |
| dc.contributor.author | Jiraporn Sripinyowanich Jongyingcharoen | |
| dc.contributor.author | Wanphut Saechua | |
| dc.date.accessioned | 2026-05-08T19:15:06Z | |
| dc.date.issued | 2025-2-26 | |
| dc.identifier.doi | 10.1016/j.energy.2025.135288 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/14873 | |
| dc.publisher | Energy | |
| dc.subject | Thermochemical Biomass Conversion Processes | |
| dc.subject | Spectroscopy and Chemometric Analyses | |
| dc.title | Explainable machine learning for predicting thermogravimetric analysis of oxidatively torrefied spent coffee grounds combustion | |
| dc.type | Article |