Deep learning models in medical image analysis often struggle with generalizability across domains and demographic groups due to data heterogeneity and scarcity. Traditional augmentation improves ...
A comprehensive deep learning framework for training CNN-based models for gaze estimation experiments (Left Eye, Face, Right Eye). This suite investigates model behavior and accuracy patterns with ...
Abstract: This paper presents a 6.78 MHz, 4.8 kW H-bridge inverter employing parallel 650 V gallium nitride (GaN) high-electron-mobility transistors (HEMTs) and an auxiliary inductor to achieve ...
Abstract: Even in modern SSDs, the disparity between random and sequential write bandwidth is more than 10-fold. Moreover, random writes can shorten the limited lifespan of SSDs because they incur ...
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