@article{01HX98VHHZXK29PE0XGY5X2Z21,
  abstract     = {{The application of artificial intelligence (AI) and big data in geohazard investigations has gained popularity due to the development of machine learning algorithms and data collection methods. Previous studies have compared and applied various machine learning‐based methods, such as conventional machine learning, deep learning, and transfer learning in different areas. This special issue provides state‐of‐the‐art information on the use of AI in geotechnical research, particularly in the Three Gorges Reservoir (TGR) area and adjoining regions. The aim of this volume is to serve as a reference for future researchers interested in exploring the potential of AI in geohazard investigations. It is hoped that this special issue will contribute to the development of guidelines for enhancing the application of AI and big data in geotechnical research, thereby improving our understanding of geological terrains and their associated hazards.}},
  author       = {{Zhang, Wengang and Pradhan, Biswajeet and Stuyts, Bruno and Xu, Chong}},
  issn         = {{0072-1050}},
  journal      = {{GEOLOGICAL JOURNAL}},
  keywords     = {{artificial intelligence,geotechnical and geohazard,landslide,susceptibility mapping,machine learning}},
  language     = {{eng}},
  number       = {{6}},
  pages        = {{2187--2194}},
  title        = {{Application of artificial intelligence in geotechnical and geohazard investigations}},
  url          = {{http://doi.org/10.1002/gj.4779}},
  volume       = {{58}},
  year         = {{2023}},
}

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