Leveraging Machine Learning Regression Algorithms to Predict Mechanical Properties of Evaporitic Rocks From Their Physical Attributes

Leveraging Machine Learning Regression Algorithms to Predict Mechanical Properties of Evaporitic Rocks From Their Physical Attributes

Evaluating the geotechnical properties of evaporitic rocks is crucial for infrastructure stability; however, traditional methods are costly and labour-intensive. In this study, machine learning (ML) regression algorithms were applied to predict four key mechanical parameters, namely, uniaxial compre...

Full description

Saved in:
Bibliographic Details
Main Authors: Ayham Zaitouny, Hasan Arman, Anusuya Krishnan, Alaa Ahmed, Ahmed Gad
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Evaporitic rocks
machine learning
mechanical properties
ensemble learning
nonlinear correlations
geotechnical engineering
Online Access:https://ieeexplore.ieee.org/document/11078266/
Tags: Add Tag
No Tags, Be the first to tag this record!
Login for hold and recall information

Internet

https://ieeexplore.ieee.org/document/11078266/

Similar Items