Seismic Wave

Seismic waves, the vibrations propagating through Earth's materials, are central to understanding earthquakes and subsurface structures. Current research focuses on improving seismic wave detection and prediction using advanced machine learning techniques, such as convolutional neural networks, generative adversarial networks, and physics-informed neural networks, often applied within sequence-to-sequence forecasting frameworks. These models aim to enhance the accuracy and speed of earthquake early warning systems, improve subsurface imaging for resource exploration, and enable more precise structural health monitoring. The resulting advancements have significant implications for mitigating earthquake risks, optimizing infrastructure design, and advancing our understanding of Earth's interior.