345 citations
- Carleton UniversityCA4 papers
- Memorial University of NewfoundlandCA2 papers
- Arcetri Astrophysical ObservatoryIT1 paper
- Brera Astronomical ObservatoryIT1 paper
- California Institute of TechnologyUS1 paper
- CEA CadaracheFR1 paper
- CEA GrenobleFR1 paper
- CEA Paris-SaclayFR1 paper
- Château GombertFR1 paper
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR1 paper
- Durham UniversityGB1 paper
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Showing 2024 · cs.LGShow all
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cs.LG2024
Clutter Classification Using Deep Learning in Multiple Stages
Ryan Dempsey, Jonathan Ethier
Path loss prediction for wireless communications is highly dependent on the local environment. Propagation models including clutter information have been shown to significantly inc…
cs.LG2024★ 20 cited
Machine Learning-Based Path Loss Modeling with Simplified Features
Jonathan Ethier, Mathieu Chateauvert
Propagation modeling is a crucial tool for successful wireless deployments and spectrum planning with the demand for high modeling accuracy continuing to grow. Recognizing that det…