Application of artificial intelligence to predict rock strength and drilling efficiency using in-cutter sensing data and vibration modes
Crossref DOI link: https://doi.org/10.1007/s13202-024-01823-6
Published Online: 2024-05-30
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Koulidis, Alexis http://orcid.org/0000-0001-7391-3386
Ooi, Guang
Ahmed, Shehab
Text and Data Mining valid from 2024-05-30
Version of Record valid from 2024-05-30
Article History
Received: 15 November 2023
Accepted: 14 May 2024
First Online: 30 May 2024
Declarations
:
: The authors declare that they have no conflict of interest.