Abstract:
Earthquakes are very dangerous events. Massive urban earthquakes continue to kill and
injure hundreds of thousands of people and cause long-term damage to people, societies,
and businesses. The motivation and research behind choosing this topic is to use
Artificial intelligence to get better results of seismic events/activities. Keeping in the
view accuracy and more effective monitoring of seismic activities, our hypothesis says
that using the deep learning in a wise way can bring up an economy-friendly method
for efficient analysis of seismology activities in Pakistan. Our goal throughout the whole
project will be to gather seismic data with the help of sensors and process them on
different technologies to produce the best output on which we can deliver the crystalclear analysis of seismic activities. So, overcoming this problem would not be a big
level as there are many approaches that can be implemented. At the end of this project,
we hope to have accurate monitoring of seismic events while keeping it a low-cost
methodology. Using convolutional neural networks to distinguish between explosive
and tectonic origins at local distances, they demonstrated that generated models can
successfully identify the source type of events with an accuracy of greater than 99.9%
