article · Modeling Earth Systems and Environment

Prediction and optimization of the compressive strength of marble powder-based concrete using AI techniques: machine learning and metaheuristic approaches

Yasmina Kellouche
Mostefa Hani
Aissa Laouissi
Rachid Djebien
Yacine Karmi
Bassam A. Tayeh
Yazid Chetbani

20256 citationsUniversity Frères Mentouri Constantine 1

In plain language

No abstract is available for this record, so no summary has been generated.

Research topics

Innovative concrete reinforcement materials
Concrete and Cement Materials Research
Recycled Aggregate Concrete Performance

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

View on publisher site Record on OpenAlex

DOI: 10.1007/s40808-025-02590-x

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.

New to MARATTO™? Create a free account.