Predictive modeling employing ensemble ML algorithms indicates a worrying trend; it foresees a significant increase in susceptibility to LS over the next few decades, particularly under high-emission scenarios.
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Projecting the effect of climate change on multiple Geomorphological hazard using machine learning data driven approaches.
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The sentences
Their analysis showed that the DLNN provided the best predictive performance and highlighted an increasing trend in rainfall and gully erosion susceptibility, offering critical insights for long-term regional planning and decision making.