Predicting the Young's modulus of frozen sand using machine learning approaches: State-of-the-art review

RS Benemaran, M Esmaeili-Falak - Geomechanics and …, 2023 - koreascience.kr
Accurately estimation of the geo-mechanical parameters in Artificial Ground Freezing (AGF)
is a most important scientific topic in soil improvement and geotechnical engineering. In …

Supply chain management and artificial intelligence improve the microstructure and economic evaluation of composite materials

X Yang, M Li - Steel and Composite Structures, 2024 - koreascience.kr
In the current study, we aim to evaluate both microstructural characteristics and economic
benefits of composite structures from supply chain utilizing AI-based method. In this regard …