Prediction of mechanical properties of wood fiber insulation boards as a function of machine and process parameters by random forest

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Feature selection in machine learning: A new perspective

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Machine learning techniques for quality control in high conformance manufacturing environment

(2018) Carlos A Escobar et al.   Advances in Mechanical Engineering

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Simulation of a real-time process adaptation in the manufacture of high-density fibreboards using multivariate regression analysis and feedforward control

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A data mining approach considering missing values for the optimization of semiconductor-manufacturing processes

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Prediction of plywood bonding quality using an artificial neural network

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MOE prediction in Abies pinsapo Boiss. timber: Application of an artificial neural network using non-destructive testing

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Prediction of internal bond strength in a medium density fiberboard process using multivariate statistical methods and variable selection

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