Abstract: This study offers a new method for casting defect prediction by incorporating a hybrid model made up of Random Forest classifiers and Convolutional Neural Networks (CNNs). Inclusions, ...
Automakers are investing in new technology that enables them to produce large castings. The goal is to consolidate parts, ...
Abstract: Automated surface defect detection is essential to manufacturing automation. However, automated inspection of aero-engine blades remains challenging due to tiny defects and weak features. To ...
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