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Hybrid random forest models optimized by Sparrow search algorithm (SSA) and Harris hawk optimization algorithm (HHO) for slope stability prediction
The intelligent prediction of slope stability is crucial for slope management and aboveground
structure design. Due to the complexity and nonlinearity of slope stability evaluation …
structure design. Due to the complexity and nonlinearity of slope stability evaluation …
Development of a framework for the prediction of slope stability using machine learning paradigms
Accurate slope stability prediction is of utmost importance to reduce disastrous effects of
slope failures and landslides. However, conventional methods of slope stability analysis are …
slope failures and landslides. However, conventional methods of slope stability analysis are …
Bayesian ensemble learning and Shapley additive explanations for fast estimation of slope stability with a physics-informed database
Slope failures present substantial threats to public safety and economic losses. However, it
remains challenging to achieve satisfactory performance due to insufficient datasets with …
remains challenging to achieve satisfactory performance due to insufficient datasets with …
[HTML][HTML] Slope stability modeling using limit equilibrium and finite element methods: a case study of the Adama City, Northern Main Ethiopian Rift
Slope failure is a prominent and recurring geohazard in numerous parts of Ethiopia,
including Adama City, which is located in the Northern Main Ethiopian Rift (NMER). The city …
including Adama City, which is located in the Northern Main Ethiopian Rift (NMER). The city …
Determination of the factor of safety against sliding of finite slopes using classical regression and soft computing approaches
Determining the factor of safety against sliding of slopes in engineering projects is a major
challenges for civil engineers. A method that can provide an accurate estimation of sliding …
challenges for civil engineers. A method that can provide an accurate estimation of sliding …
Rock Slope Stability Prediction: A Review of Machine Learning Techniques
Rock slope stability is a pivotal concern in geotechnical engineering, essential for mitigating
risks associated with landslides and slope failures. In recent years, there has been a …
risks associated with landslides and slope failures. In recent years, there has been a …
[HTML][HTML] Stability Prediction Model of Transmission Tower Slope Based on ISCSO-SVM
Z Zhang, X Liu, Y Wang, E Li, Y Zhang - Electronics, 2024 - mdpi.com
Landslides induced by heavy rainfall are common in southern China and pose significant
risks to the safe operation of transmission lines. To ensure the reliability of transmission line …
risks to the safe operation of transmission lines. To ensure the reliability of transmission line …
Comparative analysis of correlation and causality inference in water quality problems with emphasis on TDS Karkheh River in Iran
Water quality management is a critical aspect of environmental sustainability, particularly in
arid and semi-arid regions such as Iran where water scarcity is compounded by quality …
arid and semi-arid regions such as Iran where water scarcity is compounded by quality …
Rock slope stability analysis using ensemble decision tree approaches and feature importance along an economic corridor in central India
Large-scale slope destabilization poses significant risks, particularly during rapid
infrastructure development along key economic corridors. The present study provides an …
infrastructure development along key economic corridors. The present study provides an …
Human stress detection in and through sleep patterns using machine learning algorithms
Stress has a remarkable impact on various cognitive functions, demanding timely and
effective detection using strategies deployed across interdisciplinary domains. It influences …
effective detection using strategies deployed across interdisciplinary domains. It influences …