The system can predict at least three days in advance when the volcano would erupt, with 95 percent accuracy, by analyzing patterns of volcanic activity using machine learning techniques.
Machine learning tool identified pre-eruptive signs at Mount St. Helens, including tremors, magma accumulation, and pressure build-up, aiding in predicting future eruptions.
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