Assesses earthquake likelihood prediction using AI and geophysical measurements, suggesting new predictive methods.
The paper proposes a method for using Artificial Intelligence to predict the likelihood of an earthquake. Based on the observation of changes in the energy states of various geophysical (magneto-gravimetric) and hydro-geochemical fields, the probability of an earthquake is assessed. This approach to solving prognostic problems using Artificial Intelligence is being considered, when each moment in time can be compared with many categories of events occurring in a given place on Earth. Events can be deterministic or random in nature. In the general case, the system of determination of any event includes both deterministic and random components in various proportions.
No takes yet. Share an insight, caveat, or question.
Azad Bayramov (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: