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1 Ergebnisse
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A machine learning regression approach for predicting uplif..:
Lai, Van Qui
;
Kounlavong, Khamnoy
;
Keawsawasvong, Suraparb
..
Journal of Pipeline Science and Engineering. 4 (2024) 1 - p. 100147 , 2024
Link:
https://doi.org/10.1016/j.jpse.2023.100147
RT Journal T1
A machine learning regression approach for predicting uplift capacity of buried pipelines in anisotropic clays
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.jpse.2023.100147&Exemplar=1&LAN=DE A1 Lai, Van Qui A1 Kounlavong, Khamnoy A1 Keawsawasvong, Suraparb A1 Bui, Truong Son A1 Huynh, Ngoc Thi PB Elsevier BV YR 2024 SN 2667-1433 JF Journal of Pipeline Science and Engineering VO 4 IS 1 SP 100147 LK http://dx.doi.org/https://doi.org/10.1016/j.jpse.2023.100147 DO https://doi.org/10.1016/j.jpse.2023.100147 SF ELIB - SuUB Bremen
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