Seed project: Vibration-based strength grading of sawn timber
The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) was to investigate a new, data-driven technique that utilizes piezoceramic transducers together with one-dimensional convolutional neural networks for accurate strength grading of structural timber.