Furthermore, using comparative analysis of performances the paper aims to facilitate the selection of appropriate techniques for earthquake prediction.

Earthquake prediction research has been conducted for over 100 years with no obvious successes. Claims of breakthroughs have failed to withstand scrutiny.

20 сент. 2023 г. · This research deals with a review of most of the geological studies and machine learning techniques applied to earthquake data sets.

The purpose of this study is to make earthquake magnitude and depth predictions utilizing factors including time, place, and previous seismic activity data.

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.

A collaborative IoT–Edge-centered smart earthquake monitoring and prediction framework using cloud and edge computing are proposed.

This paper reviews recent publications where application of various machine learning based approaches to earthquake prediction was studied. The aim is to ...

Earthquake cataloguing is the process of gathering prior-year earthquake data source characteristics such as magnitudes, longitude, latitude, date, and time.

15 окт. 2024 г. · In this study, an attempt has been made to address the advances and challenges in the way of Earthquake prediction using satellite data.

Earthquake prediction is one of the most difficult problems in physical science and, owing to its societal implications, one of the most controversial. The ...