Advanced susceptibility analysis of ground deformation disasters using large language models and machine learning: A Hangzhou City case study.

To address the prevailing scenario where comprehensive susceptibility assessments of ground deformation disasters primarily rely on knowledge-driven models, with weight judgments largely founded on expert subjective assessments, this study initially explores the feasibility of integrating data-drive...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Bofan Yu, Huaixue Xing, Weiya Ge, Liling Zhou, Jiaxing Yan, Yun-An Li
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Public Library of Science (PLoS) 2024-01-01
Цуврал:	PLoS ONE
Онлайн хандалт:	https://doi.org/10.1371/journal.pone.0310724
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!