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Big data meets fouling: pixel-based approach in combination with GC × GC for fouling tendency prediction in steam crackers
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Application of Py-GC/MS coupled with PARAFAC2 and PLS-DA to study fast pyrolysis of genetically engineered poplars
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- Conference Paper
- C3
- open access
Application of partial least squares regression for understanding and prediction of fouling in the transfer line heat exchanger of a steam cracker
(2017) p.46-47 -
- Conference Paper
- C3
- open access
Evaluation of variable selection approaches for pixel-based analysis of GC×GC data
(2016)