Early warning of deep-seated landslide displacement using metaheuristic-optimized deep learning with groundwater–meteorological time series

Dani Nugraha  Limantono

Presentation information

[E] Oral

H (Human Geosciences ) » H-DS Disaster geosciences

[H-DS08] Landslides and related phenomena

Fri. May 29, 2026 3:30 PM - 5:00 PM Exhibition Hall Special Setting (3) (Exhibition Hall 7&8, Makuhari Messe)

Chairperson:Wang Gonghui(Disaster Prevention Research Institute, Kyoto University), Chigira Masahiro(Fukada Geological Institute), Imaizumi Fumitoshi(Faculty of Agriculture, Shizuoka University), SAITO Hitoshi(Graduate School of Environmental Studies, Nagoya University)

4:00 PM - 4:15 PM

[HDS08-21] Early warning of deep-seated landslide displacement using metaheuristic-optimized deep learning with groundwater–meteorological time series

Dani Nugraha Limantono¹, Phan Huy Phuong¹, *Jui-Sheng Chou¹ (1. National Taiwan University of Science and Technology)

Keywords:Deep-seated landslide, Landslide displacement, Groundwater level dynamics, Multivariate time series, Metaheuristic-optimized onvolutional neural network, Early warning/geohazard informatics