Earthquake forecasting from paleoseismic records. [PDF]
Wang T +7 more
europepmc +1 more source
Enhancing completeness and forecasting of early post-mainshock sequences: A case study of the 2021 Qinghai Maduo <i>M</i> <sub>S</sub>7.4 earthquake. [PDF]
Bi J, Li Y, Gao Y, Pan Y.
europepmc +1 more source
An optimization-driven hierarchical deep learning approach using the Gray Langurs algorithm for data-driven seismic activity prediction. [PDF]
Shabrawy M +3 more
europepmc +1 more source
Earthquake magnitude estimation using an optimized CNN-DNN-GRU model with binary differential evolution and firefly algorithm. [PDF]
Ahmed N +5 more
europepmc +1 more source
Earthquake Forecasting with ETAS.inlabru
The ETAS models are currently the most popular in the field of earthquake forecasting. The MCMC method is time-consuming and limited by parameter correlation while bringing parameter uncertainty. The INLA-based method "inlabru" solves these problems and performs better at Bayesian inference.
openaire +2 more sources
Earthquake magnitudes depend on seismic history, as revealed by a neural network analysis. [PDF]
Berman N +4 more
europepmc +1 more source
Near real-time b -value analysis for volcano traffic light alert systems and eruption forecasting. [PDF]
Bantidi TM +5 more
europepmc +1 more source
Correction: Doğan et al. Earthquake Early Warning System for Izmir, Western Anatolia, Türkiye Based on Multi-Station Similarity Analysis and Real-Time Seismic Data Processing. <i>Sensors</i><b>2026</b>, <i>26</i>, 2931. [PDF]
Doğan Y +13 more
europepmc +1 more source
Rapid earthquake damage assessment via hybrid LSTM-RNN with a quantum-inspired classification head based on Autonomous Perceptron Model APM. [PDF]
Alotaibi A, Alharbi S, Elshewey AM.
europepmc +1 more source
Hierarchical repeating earthquakes with strong downward directivity. [PDF]
Gao D, Ide S.
europepmc +1 more source

