Abstract: Wafer map defect classification is a crucial task in semiconductor manufacturing, as early detection of defects improves yield and minimizes production waste. This study proposes an enhanced ...
Abstract: Most existing driver attention prediction models rely on 2D or 3D convolutional neural networks for static or local temporal modeling, which limits their ability to capture long-range ...
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