The effect of class-balance and class-overlap in the training set for multivariate and product-adapted grading of Scots pine sawn timber-Reference-Cited by-同舟云学术

The effect of class-balance and class-overlap in the training set for multivariate and product-adapted grading of Scots pine sawn timber

Published:2020-09-04 Issue:1 Volume:16 Page:58-63
ISSN:1748-0272
Container-title:Wood Material Science & Engineering
language:en
Short-container-title:Wood Material Science & Engineering

Author:

Olofsson Linus¹^ORCID,Broman Olof¹,Oja Johan¹²,Sandberg Dick¹^ORCID

Affiliation:

1. Wood Science and Engineering, Luleå University of Technology, Skellefteå, Sweden

2. Norra Timber, Skellefteå, Sweden

Funder

Swedish Innovation Agency

Publisher

Informa UK Limited

Subject

General Materials Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/17480272.2020.1804996

Reference15 articles.

1. Anon (2018) Boardmaster. Accessed 12 June 2018, available at: https://finscan.fi/products/boardmaster/?lang=en. Note: Older predecessor to BoardmasterNOVA.

2. Anon (2019) Simca. Accessed 3 January 2019, available at: https://umetrics.com/products/simca.

3. Customer adapted grading of Scots pine sawn timber using a multivariate method

4. Classification of wood surfaces according to visual appearance by multivariate analysis of wood feature data

5. Broman, O. (2000) Means to measure the aesthetic properties of wood. PhD thesis, Luleå University of Technology.

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1. Evaluation of Yield Improvements in Machine vs. Visual Strength Grading for Softwood Species;Forests;2022-11-29

2. Product-adapted grading of Scots pine sawn timber by an industrial CT-scanner using a visually-trained machine-learning method;Wood Material Science & Engineering;2021-07-04