MULTI-BRANCH DEEP FUSION NETWORK-BASED AUTOMATIC DETECTION OF WELD DEFECTS USING NON-DESTRUCTIVE ULTRASONIC TEST

This study introduces a deep learning engine designed for the non-destructive automatic detection of defects within tokidoki hello kitty blind box weld beads.A 1D waveform ultrasound signal was collected using an A-scan pulser receiver to gather defect signals from inside the weld bead.We established 5,108 training datasets and 500 test datasets fo

Underwater Wireless Sensor Networks (UWSNs) face numerous challenges due to small bandwidth, long propagation delay, limited energy resources and high deployment cost.Development of efficient routing strategies is, therefore, mandatory and has remained the focus of researchers over the past few years.To address these challenges and to further impro