Utilizing machine learning to integrate silica-based production waste material in ceramic tiles manufacturing: Progressing toward sustainable solutions-Reference-Cited by-同舟云学术

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Utilizing machine learning to integrate silica-based production waste material in ceramic tiles manufacturing: Progressing toward sustainable solutions

Published:2024-06 Issue:11 Volume:50 Page:18880-18906
ISSN:0272-8842
Container-title:Ceramics International
language:en
Short-container-title:Ceramics International

Author:

Saif Saadia,Mubin Sajjad,Abbass Wasim,Aslam Fahid^ORCID,Alyousef Rayed

Publisher

Elsevier BV

Reference76 articles.

1. Suitability of some selected Ado-Ekiti (Nigeria) natural moulding sands’ properties for sand casting;Shuaib-Babata;Covenant J. Eng. Technol.,2017

2. Evaluation of chemical and physico-mechanical properties of ado-ekiti natural moulding sands for foundry applications;Shuaib-Babata;Arid Zone J. Eng. Technol. Environ.,2017

3. The importance of manufacturing in economic development: has this changed?;Haraguchi;World Dev.,2017

4. Ceramics Market: Global Technological Trends and Growth Opportunities and Forecast 2023 to 2029,2023

5. Ceramic Tiles - the Sustainable Choice - the Tile Association,2023

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial intelligence-based predictive model for utilization of industrial coal ash in the production of sustainable ceramic tiles;Archives of Civil and Mechanical Engineering;2024-08-28

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