Utilizing Machine Learning in Analysis of Earlywood and Latewood Characteristics
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Volume Title
Perustieteiden korkeakoulu |
Bachelor's thesis
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Author
Date
2024-04-26
Department
Major/Subject
Chemical Engineering
Mcode
CHEM3054
Degree programme
Aalto Bachelor’s Programme in Science and Technology
Language
en
Pages
24
Series
Description
Supervisor
Hummel, MichaelThesis advisor
Noriega Benitez, EnriquetaKeywords
earlywood, latewood, near-infrared hyperspectral imaging, principal component analysis, clustering, spectral analysis
