Machine Learning Architectures underlying "Fog Monitoring through Machine Learning of Signal Attenuation Data from Microwave Links from Cellular Communication Networks"

DOI:10.4121/e3a19ed4-801f-4586-9ba1-340c4fc3b08e.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/e3a19ed4-801f-4586-9ba1-340c4fc3b08e

Datacite citation style

Van Grinsven, Indy; Grootes, Meiert Willem; Uijlenhoet, Remko; Steeneveld, Gert-Jan (2025): Machine Learning Architectures underlying "Fog Monitoring through Machine Learning of Signal Attenuation Data from Microwave Links from Cellular Communication Networks". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/e3a19ed4-801f-4586-9ba1-340c4fc3b08e.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset contains machine learning model architectures (figures and architectures) of machine learning model to detect fog from Cellular Microwave Links. The methods has been documented in Van Grinsven et al.

History

  • 2025-05-30 first online, published, posted

Publisher

4TU.ResearchData

Format

png and h5

Funding

  • Opportunistic Sensing of Hydrometeors with Commercial Microwave Links (grant code SSIML-2021-008) NLeScienceCenter

Organizations

Meteorology and Air Quality Section, Wageningen University and Research;
TU Delft, Civil Engineering and Geosciences, Department of Water Management;
NL eScienceCenter

DATA

Files (2)