ACF 2026 Conference

This repository contains the bibliographic information of the studies used to compile the database for the conference paper: "Sustainable concrete intelligence through interpretable machine learning." A total of 63 published studies were reviewed and screened for data collection. These studies were used to develop a database comprising: 534 SCBA concrete mixtures251 RHA concrete mixtures184 control concrete mixtures The purpose of this repository is to provide transparency and traceability of the literature sources used during database development. This repository contains only the list of source publications and associated bibliographic information. The compiled machine-learning dataset is not included in this repository. Researchers may consult the original publications listed herein for detailed experimental procedures, mixture proportions, and testing results. Keywords: Machine Learning, Supplementary cementitious material, Agro-wastes, RHA, SCBA.