T88INTERPRETABLE NEURAL NETWORKS FOR SCHIZOPHRENIA RISK PREDICTION BASED ON WHOLE EXOME SEQUENCING DATA

This paper aims to characterize the damage mechanisms of 70 MPa Type IV hydrogen composite pressure vessels using the acoustic emission (AE) method. First, AE signals were captured during the 0–105 MPa and 0–158 MPa hydraulic tests of two vessels using multi-step loading method. Second, the AE feature parameters in time-domain and frequency-domain such as amplitude, frequency, and energy are studied. A multi-parameter statistical analysis (MPSA)...