All Stories

  1. Adaptively Switching Gradient Descent for Reliable PINN Training with Guarantees
  2. Time-inversion of spatiotemporal beam dynamics using uncertainty-aware latent evolution reversal
  3. A conditional latent autoregressive recurrent model for generation and forecasting of beam dynamics in particle accelerators
  4. Machine learning algorithms for delaminations detection on composites panels by wave propagation signals analysis: Review, experiences and results
  5. Toward Deep Generation of Guided Wave Representations for Composite Materials
  6. Real-time rapid leakage estimation for deep space habitats using exponentially-weighted adaptively-refined search
  7. Delamination prediction in composite panels using unsupervised-feature learning methods with wavelet-enhanced guided wave representations
  8. SIMULATION OF GUIDED WAVES FOR STRUCTURAL HEALTH MONITORING USING PHYSICS-INFORMED NEURAL NETWORKS
  9. Inverse characterization of composites using guided waves and convolutional neural networks with dual-branch feature fusion
  10. Combined two-level damage identification strategy using ultrasonic guided waves and physical knowledge assisted machine learning
  11. Ultrasonic guided wave based structural damage detection and localization using model assisted convolutional and recurrent neural networks
  12. Delamination detection in aerospace composite panels using convolutional autoencoders
  13. Temperature compensation for guided waves using convolutional denoising autoencoders
  14. Deep Learning Based Identification of Elastic Properties Using Ultrasonic Guided Waves
  15. Ultrasonic Guided Waves Based Identification of Elastic Properties Using 1D-Convolutional Neural Networks
  16. Electromechanical admittance based integrated health monitoring of adhesive bonded beams using surface bonded piezoelectric transducers