Philippe Thomas
9 Papers
Philippe Thomas is an academic researcher. The author has contributed to research in topics: Computer science & Biology. The author has an hindex of 1, co-authored 6 publications.
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Papers
Toward digital twins for sawmill production planning and control: benefits, opportunities, and challenges
TL;DR: In this paper , the benefits of digital twins to the sawmill industry were investigated via a literature review on the wider subject of sawmill production planning and control, as well as ongoing challenges from both academic and industrial perspectives.
19
An image is worth 10,000 points: Neural network architectures and alternative log representations for lumber production prediction
Vincent Martineau,Michael Morin,J. Gaudreault,Philippe Thomas,Hind Bril El-Haouzi,Mohammed Khachan +5 more
TL;DR: In this article , the authors compare several log representations that can be used (industry know-how-based features, 2D projections, and 3D point clouds) and several neural network architectures able to process these log representations (multilayer perceptron, residual network and PointNet).
2
MLP Based on Dissimilarity Features: An Application to Wood Sawing Simulator Metamodeling
TL;DR: This paper proposes the usage of multi-layer perceptrons, as well as a vector of features based on the pairwise dissimilarities from the log scans to a set of selected representative logs, chosen as the class medoids.
1
An object-oriented architecture to couple simulators and their machine learning surrogates models in the context of digital shadows
Sylvain Chabanet,Emmanuel Zimmermann,Philippe Thomas,Hind Bril El-Haouzi +3 more
TL;DR: This study proposes an object-oriented architecture to couple simulation and machine learning models for digital twins, reducing average error in predictions through a coupling strategy evaluated on four datasets with numerical experiment results.
1
A comparison of wood log dissimilarities to predict sawmill output with k-Nearest Neighbor algorithms
TL;DR: HAL as discussed by the authors is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not, which may come from teaching and research institutions in France or abroad, or from public or private research centers.