...–pile interaction induced by tunneling. Recent advances in physics-informed neural networks (PINNs) have enabled the combination of data and physical laws within neural network frameworks (Cai et al., 2021 ; Wang and Perdikaris, 2021). This is achieved by incorporating experimental data...

... wave velocity and fundamental period, while parameters such as magnitude, epicentral distance and peak ground acceleration illustrate ground motion features. In this research, an artificial neural network ( ANN ), random forest regression ( RFR ) and extreme gradient boosting (XGBoost) were trained...

... rights only cone penetration test deep learning methods geology in situ testing LSTM neural networks soil classification UN SDG 9: Industry, innovation and infrastructure National Key R&D Program of China 2023YFB2604000 2023YFB2604004 Shandong Provincial Natural Science...