Abstract: Deep supervised learning algorithms typically require a large volume of labeled data to achieve satisfactory performance. However, the process of collecting and labeling such data can be ...
Abstract: Batch normalization (BN) plays a critical role in training deep neural networks (DNNs) on energy-limited edge devices since it accelerates the convergence of DNN training. However, the ...
Introduction: Non-nutritive sweeteners (NNSs) often taste less palatable than glucose-containing sugars, potentially because they differentially engage sweet taste pathways. In this study, we examined ...
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