Abstract: The swift advancement of cyber-physical systems (CPSs) across sectors such as healthcare, transportation, critical infrastructure, and energy enhances the crucial requirement for robust ...
CAF helps solid-state chemists and materials scientists in generating compositional training data for compounds. Both experimentalists and novices can use this tool with a basic understanding of ...
Abstract: CGP has often been applied for neural architecture search (NAS). However, the performance of Cartesian genetic programming (CGP) is less than ideal when searching for architectures with ...