Documents publiés en "2026"

Département de mathématiques et de génie industriel

Seely, H., Coops, N. C., White, J. M., Montwé, D., & Ragab, A. (2026). Addressing the small data problem in forestry: self-supervised learning for aboveground biomass estimation. Forestry An International Journal of Forest Research, 99(2), 19 pages. Lien externe

Seely, H., Murray, B., Cao, Y., & Ragab, A. (2026). Deep learning with airborne laser scanning data for forest inventories [Ensemble de données]. Lien externe