Machine Learning and Data Science in Geotechnics

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Recent Articles

1. 1
   Application of long short-term memory and convolutional neural networks for real-time bridge pier scour prediction

   2026-10-30 13 citations
2. 2
   A state-of-the-art review of deep learning algorithms for geotechnical engineering – Part 1: Algorithms

   2026-08-28 0 citations
3. 3
   Data-driven surrogates for predicting thermal performance and response functions of thermo-active piles

   2026-08-11 0 citations
4. 4
   Maximum entropy principle in geotechnical engineering: a state-of-the-art review

   2026-06-19 0 citations
5. 5
   Development of neural network-based surrogate models in geotechnics: a state-of- the-art review

   2026-06-06 2 citations
6. 6
   Lessons learned from training an MLP model using layered feature sets for estimating pile bearing capacity

   2026-05-11 1 citations