Countless everyday products, from plastic squeeze bottles to outdoor furniture, are derived by first turning propane into ...

Abstract: Neural networks (NNs) are commonly used to approximate functions based on data samples, as they are a universal function approximator for a large class of functions. However, choosing a ...

The agency is crafting a definition that could shape food policy nationwide. By Dani Blum The federal government plans to develop a new definition of ultraprocessed foods, a wide-ranging group of ...

Introduction: The domain of a function is the set of all possible input values (x-values) for which the function is defined. Understanding the domain is crucial for solving mathematical problems and ...

Abstract: The choice of activation functions is crucial to deep neural networks. ReLU is a popular hand-designed activation function. Swish, the automatically searched activation function, outperforms ...