Advanced and hybrid machine learning techniques for predicting compressive strength in palm oil fuel ash-modified concrete with SHAP analysis

Advanced and hybrid machine learning techniques for predicting compressive strength in palm oil fuel ash-modified concrete with SHAP analysis

Abstract The increasing demand for sustainable construction materials has led to the incorporation of Palm Oil Fuel Ash (POFA) into concrete to reduce cement consumption and lower CO₂ emissions. However, predicting the compressive strength (CS) of POFA-based concrete remains challenging due to the v...

Full description

Saved in:
Bibliographic Details
Main Authors: Tariq Ali, Kennedy C. Onyelowe, Muhammad Sarmad Mahmood, Muhammad Zeeshan Qureshi, Nabil Ben Kahla, Aïssa REZZOUG, Ahmed deifalla
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Artificial intelligence
Machine learning
POFA concrete
Compressive strength prediction
SHAP analysis
Taylor diagram
Online Access:https://doi.org/10.1038/s41598-025-89263-y
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first

Similar Items