Using machine learning to predict the density profiles of surface-densified wood based on cross-sectional images
Crossref DOI link: https://doi.org/10.1007/s00107-022-01826-2
Published Online: 2022-06-04
Published Print: 2022-10
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Neyses, Benedikt http://orcid.org/0000-0002-1489-0839
Scharf, Alexander
Funding for this research was provided by:
Lulea University of Technology
Text and Data Mining valid from 2022-06-04
Version of Record valid from 2022-06-04
Article History
Received: 2 August 2021
Accepted: 21 April 2022
First Online: 4 June 2022