EGU26-188, updated on 13 Mar 2026
https://doi.org/10.5194/egusphere-egu26-188
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
The critical role of edge computing and energy-efficient wireless transmission in real-time image-based recognition of slope deformation
Chihping Kuo
Chihping Kuo
  • National Yunlin University of Science and Technology, Taiwan (cpkuo@yuntech.edu.tw)

How to cite: Kuo, C.: The critical role of edge computing and energy-efficient wireless transmission in real-time image-based recognition of slope deformation, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-188, https://doi.org/10.5194/egusphere-egu26-188, 2026.

This abstract has been withdrawn on 11 Aug 2026.