This project aims to predict the magnitude and probability of Earthquake occurring in a particular region using the historic data with various machine learning ...

This study examines the viability of predicting earthquakes using machine learning methods, especially the Random Forest Regressor and Neural Network Model.

Machine learning has the ability to advance our knowledge of earthquakes and enable more accurate forecasting and catastrophe response.

18 окт. 2024 г. · This research breaks new ground in earthquake prediction for Los Angeles, California, by leveraging advanced machine learning and neural network models.

29 дек. 2023 г. · Researchers are applying artificial intelligence and other techniques in the quest to forecast quakes in time to help people find safety.

Machine learning has emerged as a promising tool in earthquake prediction due to its ability to identify complex patterns, and relationships within large ...

25 апр. 2024 г. · This research investigates machine learning techniques to predict earthquake magnitude scales. The purpose of training machine learning ...

To forecast earthquakes, an examination of current machine learning classifier approaches is employed. Machine learning algorithms such as Logistic Regression, ...

17 мар. 2023 г. · An Artificial Neural Network (ANN) algorithm was proposed to predict the time and magnitude of an earthquake. The earthquake data was based in ...

A deep learning-based technique, specifically a transformer algorithm, was applied to predict earthquake magnitudes using available data for the Horn of Africa.