Machine Learning for Slope Failure Prediction Based on Inverse Velocity and Dimensionless Inverse Velocity-Reference-Cited by-同舟云学术

Machine Learning for Slope Failure Prediction Based on Inverse Velocity and Dimensionless Inverse Velocity

Published:2023-07-12 Issue:5 Volume:40 Page:1557-1566
ISSN:2524-3462
Container-title:Mining, Metallurgy & Exploration
language:en
Short-container-title:Mining, Metallurgy & Exploration

Author:

Malekian Maral^ORCID,Momayez Moe,Bellett Pat,Carrea Fernanda,Tennakoon Eranda

Publisher

Springer Science and Business Media LLC

Subject

Materials Chemistry,Metals and Alloys,Mechanical Engineering,Geotechnical Engineering and Engineering Geology,General Chemistry,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s42461-023-00781-7.pdf

Reference36 articles.

1. Osasan KS, Afeni TB (2010) Review of surface mine slope monitoring techniques. J Min Sci 46(2):177–186

2. Afeni TB, Cawood FT (2013) Slope monitoring using total station: what are the challenges and how should these be mitigated? S Afr J Geomat 2(1):41–53

3. Little MJ (2006, April) Slope monitoring strategy at PPRust open pit operation. In: Proceedings of the international symposium on stability of rock slopes in open pit mining and civil engineering. Southern African Institute of Mining and Metallurgy, Johannesburg, pp 211–230

4. Vinoth S, Kumar LA, Mishra AK (2016) Status and developments of slope monitoring techniques in opencast mines. In: Conference Paper. INDOROCK, vol 2016, p 6th

5. Sharon R, Eberhardt E (eds) (2020) Guidelines for slope performance monitoring. CSIRO Publishing

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