Application of soft computing techniques for slope stability analysis

R Mustafa, A Kumar, S Kumar, NK Sah… - Transportation …, 2024 - Springer
Past studies have indicated significant uncertainties in determining the safety factor of slope
using a deterministic approach. To reduce these uncertainties and enhance the stability of …

[HTML][HTML] Estimation of slope stability using ensemble-based hybrid machine learning approaches

P Ragam, N Kushal Kumar, JE Ajith, G Karthik… - Frontiers in …, 2024 - frontiersin.org
Mining is one of the most daunting occupations gain the sector since it entails risk at any
point in the operation. In its operation, the main focus is on slope stability. To avoid slope …

Application of Machine Learning Techniques in Slope Stability Analysis: A Comprehensive Overview

AK Sahoo, DP Tripathy… - Journal of Mining and …, 2024 - jme.shahroodut.ac.ir
The mining industry needs to accept new-age autonomous technologies and intelligent
systems to stay up with the modernization of technology, to benefit the shake of investors …

[PDF][PDF] Safety factors investigation based on fem and lem approach in toll road embankment slope

SN Fitri, F Wahyuni - Civil Engineering and Architecture, 2022 - researchgate.net
Abstract The Pejagan-Pemalang toll road which is a Section II project was designed at
different embankment heights on soft soil subgrade. The process involved investigating the …

Data-Driven Civil Engineering: Applications of Artificial Intelligence, Machine Learning, and Deep Learning

R Jain, SK Singh, D Palaniappan, K Parmar… - Turkish Journal of … - dergipark.org.tr
Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are a great
advantage that is coming to civil engineering in ways that detail accuracy can be enhanced …