Published in Engineering Applications of Artificial Intelligence, 2024
Recommended citation: Idriss Jairi, Sarah Ben-Othman, Ludivine Canivet, and Hayfa Zgaya-Biau https://www.sciencedirect.com/science/article/pii/S0952197624002549
Published in Computers & Geosciences, 2022
Recommended citation: Fang, Y., Jairi, I., & Pirhadi, N. (2023). Neural transfer learning for soil liquefaction tests. Computers & Geosciences, 171, 105282. https://www.sciencedirect.com/science/article/abs/pii/S009830042200231X
Published in Engineering Geology, 2022
Recommended citation: Pirhadi, N., Wan, X., Lu, J., Fang, Y., Jairi, I., & Hu, J. (2022). DPT-based seismic liquefaction triggering assessment in gravelly soils based on expanded case history dataset. Engineering Geology, 311, 106894. https://www.sciencedirect.com/science/article/abs/pii/S0013795222003799
Published in Human-Centric Intelligent Systems, 2021
Recommended citation: Jairi, I., Fang, Y., & Pirhadi, N. (2021). Application of logistic regression based on maximum likelihood estimation to predict seismic soil liquefaction occurrence. Human-Centric Intelligent Systems, 1(3-4), 98-104. https://www.atlantis-press.com/journals/hcis/125965576/
Published in Bulletin of Engineering Geology and the Environment, 2021
Recommended citation: Pirhadi, N., Hu, J., Fang, Y., Jairi, I., Wan, X., & Lu, J. (2021). Seismic gravelly soil liquefaction assessment based on dynamic penetration test using expanded case history dataset. Bulletin of Engineering Geology and the Environment, 80, 8159-8170. https://doi.org/10.1007/s10064-021-02423-y