Ai for anomaly detection in glacier movement identifying climate change effect using machine learning
This paper discusses the use of artificial intelligence for anomaly detection in glacier movement to determine the effect of climate change. Using machine learning algorithms such as Logistic Regression, KNN, Random Forest, SVMs, and an Ensemble Model with XGBoost and LightGBM, the research seeks to...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2025/13/epjconf_icetsf2025_01025.pdf |
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