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Comparison of machine learning models predicting the pull-off strength of modified epoxy resin floors Cover

Comparison of machine learning models predicting the pull-off strength of modified epoxy resin floors

Studia Geotechnica et Mechanica
Volume 46 (2024): Issue s1 (December 2024)
By: Mateusz Moj,  Łukasz Kampa and  Sławomir Czarnecki  
Open Access
|Nov 2024

Authors

Mateusz Moj

Wroclaw University of Science and Technology, Faculty of Civil Engineering, Wrocław, Wrocław, Poland

Łukasz Kampa

Wroclaw University of Science and Technology, Faculty of Civil Engineering, Wrocław, Wrocław, Poland

Sławomir Czarnecki

Wroclaw University of Science and Technology, Faculty of Civil Engineering, Wrocław, Wrocław, Poland
DOI: https://doi.org/10.2478/sgem-2024-0024 | Journal eISSN: 2083-831X | Journal ISSN: 0137-6365
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Language: English
Page range: 377 - 388
Submitted on: Jul 7, 2024
|
Accepted on: Sep 18, 2024
|
Published on: Nov 10, 2024
Published by: Wroclaw University of Science and Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
resin coatings,
granite powder,
machine learning,
linen fibers
Related subjects:
Geosciences,
Geosciences, other,
Materials sciences,
Composites,
Porous materials,
Physics,
Mechanics and fluid dynamics

© 2024 Mateusz Moj, Łukasz Kampa, Sławomir Czarnecki, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution 4.0 License.

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