This research breaks new ground in earthquake prediction for Los Angeles, California, by
leveraging advanced machine learning and neural network models. We meticulously …

Earthquakes pose a significant threat to urban areas, necessitating accurate forecasting
models to mitigate their impact. This study focuses on earthquake forecasting in Los …

The processes occurring on the Earth are controlled by several gradients. The surface of the
Planet is featured by complex geological patterns produced by both endogenous and …

The chromosphere is a highly dynamic outer plasma layer of the Sun. Its physical processes
accounting for the variability are poorly understood. We reconstructed the solar …

We present a new daily Group Sunspot Numbers (GSN) reconstruction from the Maunder
minimum to Solar Cycle 24/25. This new reconstruction was obtained as a result of rectifying …

Epicenter locations are generally adjacent to active faults and past seismicity regions. Past
earthquake catalogs and the geometry of the active faults can provide key prior knowledge …

Earthquakes are one of the most dangerous natural disasters facing humans because of
their occurrence without warning and their impact on their lives and property. In addition …

Los sismos representan una amenaza importante para las ciudades las cuales presentan
una densidad poblacional alta. Por lo que se requiere de modelos de pronóstico de sismos …