Abstract: The conventional topology derivation of common-grounded switched-capacitor multilevel inverter (CGSCMLI) topologies relies on manual effort, which is complex and inefficient. This paper ...

Abstract: Deep learning models have shown great potential for fault location and classification tasks in distribution systems. Emerging multi-scale data sources such as waveform measurement units, ...

stallings_graphs Research Code implements tools to experiment with finitely generated subgroups of infinite groups in Sage, via a set of new Python classes. Many of the modules correspond to research ...

This is the repository for the paper "eQMARL: Entangled Quantum Multi-Agent Reinforcement Learning for Distributed Cooperation over Quantum Channels" published in ICLR 2025 ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Direct dynamics simulations are employed in many areas of chemistry and biochemistry.