Assessing excavatability in varied rockmass conditions using real-time data and machine learning technique

Assessing excavatability in varied rockmass conditions using real-time data and machine learning technique

This study investigates shovel excavation performance across various rockmass conditions by integrating real-time performance assessments, rockmass property analysis, and machine learning techniques. Correlation analysis revealed significant positive relationships between Total Loading Time (TLT) an...

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Bibliographic Details
Main Authors: Shafi Muhammad Pathan, Abdul Ghani Pathan, Muhammad Saad Memon
Format: Article
Language:English
Published: Mehran University of Engineering and Technology 2025-01-01
Series:Mehran University Research Journal of Engineering and Technology
Online Access:https://publications.muet.edu.pk/index.php/muetrj/article/view/3408
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