Biography

is a former middle school English teacher turned YA author. Her stories center on Latinx teenagers navigating identity, family, and first loves. Her novels have been named Junior Library Guild selections. She lives in Austin, Texas, surrounded by far too many houseplantsearthquakes that weren't predicted before is a crucial challenge. Normal algorithms have little trouble predicting earthquakes with moderate to high magnitudes since these events are rare and hard to find in seismic databases[5]. Expert analysts or automated detection systems could miss a small-magnitude earthquake if certain conditions are met, such as a poor signal-to-noise ratio in the traces or the recording of overlapping events. This means that earthquake inventory can be lacking in terms of smaller earthquakes[6]. An important area of research for emergency response recently has been the early automatic prediction of earthquakes using raw waveform data gathered by seismic station sensors. In order to fulfil this purpose, EEW systems immediately send out warnings about possible dangers in high-risk areas as soon as the waves of an earthquake are identified. The following is the outline for the remainder of the paper. The most relevant research on earthquake prediction methods is presented in Section II. After an introduction to the proposed LSSVM-FPA system model for earthquake prediction in Section III, the results and discussions of the simulations follow in Section IV. Section V serves as the paper's conclusion.