This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning to solve ...

This paper develops a predictive optimisationbased iterative learning control (ILC) strategy for the highperformance formation control problem in networked dynamical systems working repetitively. It ...

The evolution of hunting behavior in fish larvae has arrived at different, species-specific solutions, recombining a shared repertoire of locomotor and eye movement motifs.

Reliably predicting heterogeneous photocatalyst efficiency using machine learning (ML) remains challenging, because of variations in synthesis protocols and evaluation methods. To address this, we ...