While studying salmon populations and designing amusement parks, these students are breaking barriers to advanced math that ...
Abstract: In this study, physics-informed graph residual learning (PhiGRL) is proposed as an effective and robust deep learning (DL)-based approach for 3-D electromagnetic (EM) modeling. Extended from ...
Abstract: In this paper, we study the event-triggered consensus problem for multi-agent systems with general linear dynamics under a general directed graph. We propose a decentralized event-triggered ...
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