Towards Enhancing Automated Defect Recognition (ADR) in Digital X-ray Radiography Applications: Synthesizing Training Data through X-ray Intensity Distribution Modeling for Deep Learning Algorithms

Industrial radiography is a pivotal non-destructive testing (NDT) method that ensures quality and safety ucsb gaucho blue in a wide range of industrial sectors.Conventional human-based approaches, however, are prone to challenges in defect detection accuracy and efficiency, primarily due to the high inspection demand from manufacturing industries w

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