1 citations · 1 across the 1 of their papers we have counts for
3 papers
eess.SP2026
B-ExposNet: Bayesian Deep Learning for EMF Exposure Mapping with Uncertainty Quantification
Yukun Liu, Shanshan Wang, Paul Lagouanelle +2
Electromagnetic field exposure in urban environments is highly variable, and conventional exposure maps provide a deterministic estimate, without considering its uncertainty. To ad…
eess.SP2026
UrbanEMF: City-Scale EMF Mapping over a Continuous Urban Area with Real-World Base-Station Deployment
Shuangning Li, Chenxin Luo, Shanshan Wang +3
Electromagnetic Fields (EMF) mapping is essential for wireless propagation modeling and are fundamental to a wide range of applications, including spectrum awareness, network plann…
astro-ph.EP2024★ 1 cited
Schumann Resonances as a tool to constrain the depth of Titan's buried water ocean: Re-assessment of Huygens observations and preparation of the EFIELD/Dragonfly experiment
Paul Lagouanelle, Alice Le Gall
Among the lines of evidence for a buried ocean on Titan is the possible detection, in 2005, by the Permittivity, Wave and Altimetry (PWA) analyzer on board the ESA Huygens probe of…