Prediction of formaldehyde emissions from wood-based panels containing amino plastic resins using non-linear regression analysis and machine learning

Editorial summary

The study applies nonlinear regression and machine-learning techniques to predict formaldehyde emissions from wood-based panels bonded with amino resins. FLEC appears in a cited comparison of formaldehyde measurements made with an emission cell and a chamber, not as the authors' measurement device.

Editorial, non-verbatim summary based on the publisher abstract and reference list.

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