A study and comparative analysis on prediction of tsunami using convolutional neural network

Tsunamis are large and destructive ocean waves that can be triggered by a variety of events, including earthquakes, landslides, volcanic eruptions, and meteor impacts. The environment-devasting events which affect biological life led to a focus on the prediction of tsunamis. While scientists identify the source of a potential tsunami, it can be difficult to predict the accurate path and impact of a wave as it travels across ocean. The effects of tsunami can vary greatly depending on the topography and infrastructure of the affected area. This chapter focuses on improving the efficiency of atmospheric waves to locate areas that are at risk. Deep learning techniques are used for precise tsunami predictions, as they are able to identify patterns in large and complex datasets that may mitigate economic loss. By analyzing different models, CNN model is used for prediction of tsunami.