Utilizing deep learning for intelligent monitoring and early warning of slope disasters in public space design
IntroductionThe increasing frequency of slope disasters in urban and recreational public spaces, driven by climate change, presents significant risks to public safety and sustainable urban design. Conventional slope stability monitoring systems rely heavily on static models and manual interventions,...
Saved in:
| Main Authors: | Wang Ting, Ying Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-05-01
|
| Series: | Frontiers in Environmental Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenvs.2025.1536481/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Editorial: Monitoring, early warning, and mitigation of natural and engineered slopes – volume IV
by: Haijun Qiu, et al.
Published: (2025-05-01) -
Artificial slope deformation monitoring and analyzing based on SBAS technology
by: Xiaochuan Huang, et al.
Published: (2025-03-01) -
Monitoring and warning system and deformation rate threshold determining method for open-pit mine slopes
by: Liu HAN, et al.
Published: (2025-02-01) -
Corrigendum: Artificial slope deformation monitoring and analyzing based on SBAS technology
by: Xiaochuan Huang, et al.
Published: (2025-06-01) -
Discussion on the Design of Sprayed Eco-Protection for Near-Slope Roads Along Multi-Level Slopes
by: Haonan Chen, et al.
Published: (2025-07-01)