2 papers
cs.LG2026
Efficient Neural-Network-Based High-Resolution Radiative Transfer for CO___ Retrieval, and Application to Interferometric Sensing
Jordan Lontsi Tedongmo, Yann Ferrec, Laurence Croizé +3
Studying climate change requires reducing uncertainties in CO2 and CH4 emission estimates to better distinguish anthropogenic from natural sources, which motivates spaceborne measu…
astro-ph.IM2025
Decoding the Radio Sky: Bayesian Ensemble Learning and SVD-Based Feature Extraction for Automated Radio Galaxy Classification
Theophilus Ansah-Narh, Jordan Lontsi Tedongmo, Joseph Bremang Tandoh +2
The classification of radio galaxies is central to understanding galaxy evolution, active galactic nuclei dynamics, and the large-scale structure of the universe. However, traditio…