Advanced machine learning models for the prediction of ceramic tiles’ properties during the firing stage

Advanced machine learning models for the prediction of ceramic tiles’ properties during the firing stage

The firing stage is a critical phase in ceramic tile production, where the interplay of raw material composition and thermal treatment determines essential properties such as water absorption (WA) and bending strength (BS). This study employs advanced machine learning (ML) models to accurately predi...

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Bibliographic Details
Main Authors: V. Vasic, Milica, Awoyera, Paul O., Fadugba, Oladlu George, Barisic, Ivana, Nettinger Grubeša, Ivanka
Format: Article
Language:English
Published: Scientific Reports 2025
Subjects:
Ceramic tiles
Firing stage
Machine learning
Water absorption
Bending strength
SHAP analysis
Process optimization
Online Access:http://hdl.handle.net/20.500.12493/2952
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http://hdl.handle.net/20.500.12493/2952

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