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Intelligent Models for Prediction of Compressive Strength of Geopolymer Pervious Concrete Hybridized with Agro-Industrial and Construction-Demolition Wastes Cover

Intelligent Models for Prediction of Compressive Strength of Geopolymer Pervious Concrete Hybridized with Agro-Industrial and Construction-Demolition Wastes

Open Access
|Sep 2024

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DOI: https://doi.org/10.2478/sgem-2024-0020 | Journal eISSN: 2083-831X | Journal ISSN: 0137-6365
Language: English
Page range: 349 - 376
Submitted on: May 7, 2024
Accepted on: Jul 15, 2024
Published on: Sep 26, 2024
Published by: Wroclaw University of Science and Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Shriram Marathe, Anisha P Rodrigues, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution 4.0 License.