The Effectiveness of Data Augmentation in Compressive Strength Prediction of Calcined Clay Cements Using Linear Regression Learning
Year: 2023
Type: article
Abstract: Yassine El Khessaimi, Youssef El Hafiane, Agnès Smith, Karim Tamine, Samir Adly and Moulay Barkatou Cement production is a major contributor to global CO2 (Carbon dioxide) emissions. To minimize its environmental impact while maintaining the required mechanical properties of cement, there is a pressing need for sustainable production processes.
Source: NanoWorld Journal
Language: English
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
Funder: Agence Nationale de la Recherche
OpenAlex ID: W4384898798
