Confusion matrices are numerical structures that deal with the distribution of errors between different classes or categories in a classification process. From a quality perspective, it is of …
N Alharbi, M Alassiri - International Journal of Cell Biology, 2024 - Wiley Online Library
Background: The exponential growth in mobile phone usage has raised concerns about electromagnetic field (EMF) exposure and its health risks. Blood pressure and BMI, which …
F Le, D Dumuid, TE Stanford, JF Wiley - arXiv preprint arXiv:2411.12407, 2024 - arxiv.org
Multilevel compositional data, such as data sampled over time that are non-negative and sum to a constant value, are common in various fields. However, there is currently no …
Compositional data arise in many real-life applications and versatile methods for properly analyzing this type of data in the regression context are needed. This paper, through use of …
L Ene, J Söderberg - Skogforsk Arbetsrapport, 2021 - skogforsk.se
This project developed methods for utilising harvester data as in-situ data when tree species are mapped using remote sensing data, satellite data and LiDAR. Improved tree species …
Compositional data refer to proportions of a whole. This type of data arise in many different disciplines, such as geology, biology, economics, and sociology, and require nontraditional …