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UNSUPERVISED LEARNING METHODS FOR IDENTIFICATION OF DEFECTS IN HETEROGENEOUS MATERIALS
(Proceedings of the American Society for Composites—Thirty-fifth Technical Conference, 2020-09-17)
**Please note that the full text is embargoed** ABSTRACT: The complexity of composite materials due to the nature of their numerous laminated layers, stacking sequences, type of fibers, resin, and other external factors ...
Artificial Intelligence in Real-Time Diagnostics and Prognostics of Composite Materials and its Uncertainties – a Review
(IOP Publishing Ltd, 2021-06)
**Please note that the full text is embargoed** ABSTRACT: In the era of the 4th industrial revolution of big data, Artificial Intelligence (AI) is widely used in each and every field of composite materials which includes ...
Ordinary Differential Equations with Machine Learning for Prediction of Smart Composite Fracture Toughness
(American Society for CompositesDEStech Publications, Inc., 2021)
**Please note that the full text is embargoed** ABSTRACT: This work in on the development of an ordinary differential equation (ODE) model coupled with statistical methods for the prediction of fracture toughness of a ...