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

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

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Milica V. Vasić, Paul O. Awoyera, Olaolu George Fadugba, Ivana Barišić, Ivanka Netinger Grubeša
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-08-01
Subjects:	Ceramic tiles Firing stage Machine learning Water absorption Bending strength SHAP analysis
Online Access:	https://doi.org/10.1038/s41598-025-12011-9