Abstract: Traditional electromagnetic (EM) design optimization often relies on high-fidelity simulations and external optimization algorithms, resulting in excessive runtime and substantial memory ...
Adapting to the Stream: An Instance-Attention GNN Method for Irregular Multivariate Time Series Data
Managing irregular multivariate time series (IMTS) data is a significant challenge due to inherent irregularities and missing values. Recent advancements have utilized graph neural networks (GNNs) to ...
Abstract: Multiple response optimization (MRO) aims to obtain an optimal solution by optimizing several responses simultaneously for quality improvement. The preference parameters in the traditional ...
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