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: Motivated by depression's significant impact on global health, this work proposes MultiDepNet, a novel multi-modal interpretable depression detection system integrating visual, physiological ...