EGU21-14488
https://doi.org/10.5194/egusphere-egu21-14488
EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Pre-treating GNSS time series using a recurrent neural network to improve the automated detection of jump discontinuities

Luca Tavasci, Pasquale Cascarano, and Stefano Gandolfi
Luca Tavasci et al.
  • Università di Bologna, Department of Civil, Chemical, Environmental and Materials Engineering (DICAM), Bologna, Italy (tava126@gmail.com)

How to cite: Tavasci, L., Cascarano, P., and Gandolfi, S.: Pre-treating GNSS time series using a recurrent neural network to improve the automated detection of jump discontinuities, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-14488, https://doi.org/10.5194/egusphere-egu21-14488, 2021.

This abstract has been withdrawn on 19 Apr 2021.