About this document

Identification of Earthquake Precursors Origin and AI Framework For Automatic Classification For One of These Precursors - Abstract by bcelluloid is a document available to read on EtoBox.

The document discusses the development of an automated framework for accurately classifying earthquake precursor signals, focusing on distinguishing ramping patterns from non-ramping signals using a combination of traditional machine learning and deep learning techniques. A Convolutional Neural Network (CNN) with an attention mechanism achieved a classification accuracy of 99.81%, demonstrating improved performance in real-time P-wave detection. The proposed system is designed to handle large datasets effic

Author

bcelluloid

Language

EN