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 cecily rose oilers 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/

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Learning to Read Big Books: Dante, Spenser, Milton

The interpretive challenges posed by dense and lengthy poems such as Dante’s Inferno, Spenser’s Faerie Queene, and Milton’s Paradise circuiteer ii blower Lost can prove daunting for the average undergraduate reader whose experience of texts has been circumscribed by pedagogical mandates focused on reading for information.While inf

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Understanding the Effects of Wind Intensity, Forward Speed, Pressure and Track on Generation and Propagation of Hurricane Irma Surges around Florida

In this study, it is demonstrated that hurricane wind intensity, forward speed, pressure, and track play an important role on the generation and propagation of coastal storm surges.Hurricane deauville michel germain perfume Irma, which heavily impacted the entire Florida peninsula in 2017, is used to study the storm surge sensitivity to varying sto

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