Research on Geotechnical Data Interpolation and Prediction Techniques
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Atlantis Press International BV
Reference11 articles.
1. Liu, W.L., Chen, E.J., Yao, E.L., Wang, Y.Y., & Chen, Y.Y. (2021). Reliability analysis of face stability for tunnel excavation in a dependent system. Reliability Engineering & System Safety, 206, 107306. https://doi.org/10.1016/j.ress.2020.107306.
2. Tao, Y. (2022) Data on prediction of geological characteristics during shield tunnelling in mixed soil and rock ground. Data in Brief, 45: 108726. https://doi.org/10.1016/j.dib.2022.108726.
3. Zona, A., Kammouh, O., & Cimellaro, G.P. (2020). Resourcefulness quantification approach for resilient communities and countries. International Journal of Disaster Risk Reduction, 46, 101509. https://doi.org/10.1016/j.ijdrr.2020.101509.
4. Jafrasteh, B., Hernández-Lobato, D., Lubián-López, S.P., & Benavente-Fernández, I. (2023). Gaussian processes for missing value imputation. Knowledge-Based Systems, 273, 110603. https://doi.org/10.1016/j.knosys.2023.110603.
5. Cao, J.J., Yao, G., & Da Silva, N.V. (2022). Interpolation of irregularly sampled noisy seismic data with the nonconvex regularization and proximal method. Pure and Applied Geophysics, 179(2), 663–678. https://doi.org/10.1016/j.jappgeo.2023.105073.
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