Exploring thawing patterns: data-driven modelling of permafrost dynamics using Random Forest and Neural Networks
Aram Moradi, Vadim Kravchinsky
Dans les comptes rendus d’articles de la conférence: GeoManitoba 2025: 78th Canadian Geotechnical Conference & 9th Canadian Permafrost ConferenceSession: CPA Poster Session
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Moradi, Aram, Kravchinsky, Vadim (2025) Exploring thawing patterns: data-driven modelling of permafrost dynamics using Random Forest and Neural Networks in GEO2025. Ottawa, Ontario: Canadian Geotechnical Society.
@inproceedings{Moradi_GEO2025_48,
author = {{Moradi, Aram}, {Kravchinsky, Vadim}}
title = {Exploring thawing patterns: data-driven modelling of permafrost dynamics using Random Forest and Neural Networks }
booktitle = {Proceedings of the 78th Canadian Geotechnical Conference & 9th Canadian Permafrost Conference}
year = {2025}
organization = {The Canadian Geotechnical Society},
address = {Ottawa, Canada} }
title = {Exploring thawing patterns: data-driven modelling of permafrost dynamics using Random Forest and Neural Networks }
booktitle = {Proceedings of the 78th Canadian Geotechnical Conference & 9th Canadian Permafrost Conference}
year = {2025}
organization = {The Canadian Geotechnical Society},
address = {Ottawa, Canada} }