Can machine learning predict which equity factors will outperform? A new study finds that machine learning models, especially ...
Abstract: Most existing graph neural networks (GNNs) learn node embeddings using the framework of message passing and aggregation. Such GNNs are incapable of learning relative positions between graph ...
Abstract: This article proposed a robust model predictive control (MPC) for permanent magnet synchronous motors taking into account the effect of disturbance. A structure cascading extended Kalman ...
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