Thesis Defence: Data-Efficient Machine Learning for Predicting Compressive Strength of Fibre-Reinforced Concrete with Waste Rubber and Recycled Aggregate Using Continual and Transfer Learning
Online virtual eventMohammad Ramezan Khani will defend their thesis.