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

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 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 for five pass/fail labels in this

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Impact of rice GENERAL REGULATORY FACTOR14h (GF14h) on low-temperature seed germination and its application to breeding.

Direct seeding is employed to circumvent the labor-intensive process of rice (Oryza sativa) transplantation, but this approach requires varieties with vigorous low-temperature germination (LTG) when sown in cold climates.To investigate the genetic basis of LTG, we identified the quantitative trait locus (QTL) qLTG11 from rice variety Arroz da Terra

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