Abstract: Batch normalization (BN) enhances the training of deep ReLU neural network with a composition of mean centering (centralization) and variance scaling (unitization). Despite the success of BN ...

ABSTRACT: Convolutional neural networks (CNNs) are widely used in image classification tasks, but their increasing model size and computation make them challenging to implement on embedded systems ...

Despite decades of research proving their value at work, emotions remain one of the most undervalued—and misunderstood—resources available to leaders. Too many leaders still believe that emotions ...

The old adage, "familiarity breeds contempt," rings eerily true when considering the dangers of normalizing deviance. Coined by sociologist Diane Vaughan, this phenomenon describes the gradual process ...

Transformers have revolutionized natural language processing as the foundation of large language models (LLMs), excelling in modeling long-range dependencies through self-attention mechanisms. However ...

Whether you’re watching a feature film or a television show, you’ve probably noticed big fluctuations in volume levels, especially when a commercial break pops up and nearly shatters your eardrums.

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Batch reactors are type of chemical reactors, where the reactants are loaded to ...

What is a sequencing batch reactor? In wastewater treatment, a sequencing batch reactor (SBR) is a fill-and-draw type of wastewater treatment process. A SBR can be used to treat both municipal and ...

Neuronal morphology can be represented using various feature representations, such as hand-crafted morphometrics and deep features. These features are complementary to each other, contributing to ...

America has been navigating a slow-rolling catastrophe for the better part of a decade. I would like us to pause for a moment to observe the extent to which we have normalized it. Why? Because I want ...