Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...
Abstract: Function approximation by artificial neural networks (ANNs) are often carried out via a collocation grid approach. However, for certain combinations of grids and functions, the training data ...
A Novel Modeling Approach for Cumulative Belief Rule-Base With Joint Optimization and Rule Synthesis
Abstract: Cumulative belief rule-based system (CBRBS) is a recent representative of explainable artificial intelligence (XAI). However, the use of CBRBS as XAI still faces many challenges, e.g., ...
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