Machine learning models for predicting the compressive strength of concrete with shredded pet bottles and m sand as fine aggregate

• Main Authors: Nadimalla, Altamashuddinkhan, Masjuki, Siti Aliyyah, Gubbi, Abdullah, Khan, Anjum, Mokashi, Imran
• Format: Article
• Language: English
• Published: IIUM Press, International Islamic University Malaysia 2025
• Subjects: TA401 Materials of engineering and construction
• Online Access: http://irep.iium.edu.my/118550/1/View%20of%20Machine%20Learning%20Models%20for%20Predicting%20the%20Compressive%20Strength%20of%20Concrete%20with%20Shredded%20PET%20Bottles%20and%20M-Sand%20as%20Fine%20Aggregate.pdf; http://irep.iium.edu.my/118550/; https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/2998/1016

Machine Learning (ML) and Artificial Intelligence (AI) are closely intertwined and represent the latest cutting-edge technologies that facilitate the development of intelligent prototypes. Machine learning is a critical subset of AI that deliberates the development of self-trained algorithms that us...