Scheduled presentations:

• Feature-Based Neural Networks for Impact Localization in Composite Structures
  *D. del-Río-Velilla (Universidad Politécnica de Madrid), F. Sánchez Iglesias (Universidad Politécnica de Madrid), A. Fernández López (Universidad Politécnica de Madrid)
• GW feature signal extraction based reliable damage imaging method under environmental and operational conditions
  *J. Li (Nanjing University of Aeronautics & Astronati), S. Yuan (Nanjing University of Aeronautics & Astronati), Y. Ren (Nanjing University of Aeronautics & Astronati), J. Shen (Nanjing University of Aeronautics & Astronati)
• Damage detection algorithm based on an innovative nonlinear model-order reduction technique: the Rank Reduction Autoencoder (RRAE) conditioned to learn damage features.
  *S. Rodriguez (ENSAM), M. Rebillat (ENSAM), N. Mechbal (ENSAM), A. Ammar (ENSAM), F. Chinesta (ENSAM)
• Interpretable AI for Guided-Wave SHM of Anisotropic Composites: Toward Trustworthy Damage Diagnosis
  *N. MECHBAL (PIMM UMR CNRS ENSAM CNAM), M. Rebillat (PIMM UMR CNRS ENSAM CNAM)
• Impact Load Reconstruction for Composite Structures Using a Gated Temporal Convolutional Network
  *B. Niu (CRRC Qingdao Sifang Co., Ltd.), A. Tian (CRRC Qingdao Sifang Co., Ltd.), C. Peng (CRRC Qingdao Sifang Co., Ltd.), G. Wang (CRRC Qingdao Sifang Co., Ltd.), P. Shi (CRRC Technology Innovation (Beijing) Co., Ltd), T. Yang (CRRC Qingdao Sifang Co., Ltd.), Y. Xu (CRRC Qingdao Sifang Co., Ltd.), F. Guo (CRRC Qingdao Sifang Co., Ltd.), C. Cheng (CRRC Qingdao Sifang Co., Ltd.)