... to be inefficient, computation-intensive and limited in terms of capturing the highly non-linear behaviour of composite structures. Recently, machine learning ( ML ) has been considered as a fast and effective data-driven technique for modelling structural responses based on experimental, numerical and monitoring...

... on Kevlar, glass fibre, and carbon fibre composites using THz time-domain spectroscopy. The framework integrates signal processing, machine learning, and statistical modelling to extract features such as absorption, reflection, and defect size. Principal component analysis, Random Forest feature ranking...