[HTML][HTML] A generic random field approach for stratification uncertainty quantification
S Zhang, Y Tao, X Geng - Engineering Geology, 2024 - Elsevier
Geological uncertainty is a crucial factor in the reliability design of geotechnical structures,
necessitating advanced probabilistic approaches for robust subsurface stratification and …
necessitating advanced probabilistic approaches for robust subsurface stratification and …
UNet-like transformer for 1D soil stratification using cone penetration test and borehole data
X Zhou, P Shi - Engineering Geology, 2024 - Elsevier
Subsurface stratification is crucial for the construction safety of underground projects. The
one-dimensional (1D) soil stratification aims at identifying segmentation points that separate …
one-dimensional (1D) soil stratification aims at identifying segmentation points that separate …
[HTML][HTML] Graph Neural Networks: A Bibliometric Map** of the Research Landscape and Applications
Graph neural networks (GNNs) are deep learning algorithms that process graph-structured
data and are suitable for applications such as social networks, physical models, financial …
data and are suitable for applications such as social networks, physical models, financial …
[PERNYATAAN][C] Development of a Data-driven Machine Learning Software for Geotechnical Subsurface Characterisation
ZZ Wang, XF Guo, Y Hu - 17th Young Geotechnical Engineers Symposium YGES …, 2024