Response surface regression and machine learning models to predict the porosity and compressive strength of pervious concrete based on mix design parameters
Year: 2024
Type: article
Institution: University of Jaffna
Language: English
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W4400512183
