Innovative Research: Billy Koech Develops Machine Learning-Based Tool for California Bearing Ratio Tests
The Department of Civil & Construction Engineering at the University of Nairobi is delighted to highlight an insightful presentation recently delivered by Billy Koech, who shared his research titled “Development of a Decision Support System for the California Bearing Ratio (CBR) Test using Machine Learning.”