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Comparison of performance prediction of TBM in two rock conditions using different machine learning techniques

Abstract Accurate estimation of the rate of penetration (ROP) is essential for planning and optimizing tunnel boring machine (TBM) operations. Unlike previous studies that evaluated each project independently, this study develops a unified cross-project prediction framework using geotechnical datase...

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Sábháilte in:
Sonraí bibleagrafaíochta
Príomhchruthaitheoirí: Rui Yong, Sujith Mangalathu, Pengpeng Ni, Changshuo Wang
Formáid: Artigo
Teanga:Inglês
Foilsithe / Cruthaithe: Springer 2025-12-01
Sraith:Geomechanics and Geophysics for Geo-Energy and Geo-Resources
Ábhair:
Rochtain ar líne:https://doi.org/10.1007/s40948-025-01091-6
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