Benchmarking Conventional and Machine Learning Segmentation Techniques for Analysis of Digital Rock Physics Properties
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Benchmarking Conventional and Machine Learning Segmentation Techniques for Analysis of Digital Rock Physics Properties. / Reinhardt, Marcel; Jacob, Arne; Kersten, Michael et al.
Interpore 2021. 2021.
Interpore 2021. 2021.
Publikationen: Beitrag in Buch/Bericht/Konferenzband › Beitrag in Konferenzband
Harvard
Reinhardt, M, Jacob, A, Kersten, M, Enzmann, F, Cappuccio, F, Arnold, P & Moravcoca, O 2021, Benchmarking Conventional and Machine Learning Segmentation Techniques for Analysis of Digital Rock Physics Properties. in Interpore 2021.
APA
Reinhardt, M., Jacob, A., Kersten, M., Enzmann, F., Cappuccio, F., Arnold, P., & Moravcoca, O. (2021). Benchmarking Conventional and Machine Learning Segmentation Techniques for Analysis of Digital Rock Physics Properties. In Interpore 2021
Vancouver
Reinhardt M, Jacob A, Kersten M, Enzmann F, Cappuccio F, Arnold P et al. Benchmarking Conventional and Machine Learning Segmentation Techniques for Analysis of Digital Rock Physics Properties. in Interpore 2021. 2021
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Bibtex - Download
@inproceedings{7dec426fff6d46e6993da3f27388c14a,
title = "Benchmarking Conventional and Machine Learning Segmentation Techniques for Analysis of Digital Rock Physics Properties",
author = "Marcel Reinhardt and Arne Jacob and Michael Kersten and Frieder Enzmann and Francesco Cappuccio and Pit Arnold and Olga Moravcoca",
year = "2021",
month = jun,
day = "3",
language = "English",
booktitle = "Interpore 2021",
}
RIS (suitable for import to EndNote) - Download
TY - GEN
T1 - Benchmarking Conventional and Machine Learning Segmentation Techniques for Analysis of Digital Rock Physics Properties
AU - Reinhardt, Marcel
AU - Jacob, Arne
AU - Kersten, Michael
AU - Enzmann, Frieder
AU - Cappuccio, Francesco
AU - Arnold, Pit
AU - Moravcoca, Olga
PY - 2021/6/3
Y1 - 2021/6/3
M3 - Conference contribution
BT - Interpore 2021
ER -
