Network theory applications in data classification exploit the representation of data points as nodes in a graph with edges encoding similarity, correlation or interaction. Classical approaches build ...

Deep transfer learning has emerged as a powerful paradigm in image classification, enabling models to leverage knowledge acquired from large, labelled datasets to perform effectively on new tasks with ...

Nanomaterials that have enzymatic activities are called nanozymes. “Herbzymes” are nanozymes derived from traditional Chinese herbal medicines, with potential biomedical applications. With ...