Sustainable foam glass property prediction using machine learning: A comprehensive comparison of predictive methods and techniques

Sustainable foam glass property prediction using machine learning: A comprehensive comparison of predictive methods and techniques

Foam glass (FG) is characterized by its lightweight structure and exceptional insulating properties, making it a highly suitable material for a wide range of applications. It is produced by foaming molten glass, resulting in a cellular structure that enhances its insulation and impact-resistant prop...

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Bibliographic Details
Main Authors: Mohamed Abdellatief, Leong Sing Wong, Norashidah Md Din, Ali Najah Ahmed, Abba Musa Hassan, Zainah Ibrahim, G. Murali, Kim Hung Mo, Ahmed El-Shafie
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Results in Engineering
Subjects:
Sustainable foam glass
Machine learning
Intelligent design
Compressive strength
Construction materials
Predictive modeling
Online Access:http://www.sciencedirect.com/science/article/pii/S259012302500177X
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