Characterisation of precursory seismic activity towards early warning of landslides via semi-supervised learning

Characterisation of precursory seismic activity towards early warning of landslides via semi-supervised learning

Abstract This study demonstrates that machine learning from seismograms, obtained from commonly deployed seismometers, can identify the early stages of slope failure in the field. Landslide hazards negatively impact the economy and public through disruption, damage of infrastructure and even loss of...

Full description

Saved in:
Bibliographic Details
Main Authors: David Murray, Lina Stankovic, Vladimir Stankovic, Stella Pytharouli, Adrian White, Ben Dashwood, Jonathan Chambers
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Landslides
Machine learning
Data driven
Online Access:https://doi.org/10.1038/s41598-024-84067-y
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items