... algorithms in geotechnical engineering. Unlike previous artificial intelligence surveys, it focuses on algorithmic foundations, tools and data requirements. The inclusion of transfer learning and publicly available data sets adds significant practical value. It serves both as an educational entry point...

... may be seen at Link to the terms of the CC BY 4.0 license. Artificial intelligence Neural networks Surrogate modelling Computational geotechnics Sustainable development Geotechnical engineers must make informed decisions based on comprehensive analyses of complex structures...

... for responsible artificial intelligence ( AI ) deployment, contributing to the broader adoption of AI in academia. Automated grading systems in engineering education offer numerous benefits for both students and instructors. These systems enable real-time continuous assessment across various activities...

...Kacper Cerek; Arjun Gupta; Duy Anh Dao; Elnaz Hadjiloo; Jürgen Grabe Purpose Artificial intelligence, particularly deep learning (DL), has increasingly influenced various scientific fields, including soil mechanics. This paper aims to present a novel DL application of long short-term memory (LSTM...

...Mohamed Shahin Purpose This short review paper aims to examine the evolution of artificial intelligence (AI)/machine learning (ML) in the realm of geotechnical engineering. Design/methodology/approach This paper gives a brief overview of AI/ML technology and discusses its current trend...