An early warning system for earthquake prediction from seismic data using batch normalized graph convolutional neural network with attention mechanism (bngcnnatt)

HIGHLIGHTS

• who: Muhammad Atif Bilal et al. from the College of Instrumentation and Electrical Engineering, Jilin University, Changchun, China have published the research work: An Early Warning System for Earthquake Prediction from Seismic Data Using Batch Normalized Graph Convolutional Neural Network with Attention Mechanism (BNGCNNATT), in the Journal: Sensors 2022, 6482 of 31/Dec/2021
• what: The authors propose a GCNN model with batch normalization and attention mechanisms for earthquake prediction. The authors propose a graph convolutional neural_network with batch normalization and attention mechanisms for the early prediction of earthquake magnitude and depth; For experiments, the . . .
  

   

  

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