Soft Computing (SC) is an Artificial Intelligence (AI) approach that is more effective at solving real-life problems than traditional computing models. Soft Computing models are tolerant of partial ...
Abstract: While graph neural networks (GNNs) excel in graph data analysis, most methods rely on extensive labeled data, which is often impractical due to labeling costs and complexity. To address this ...
Abstract: Predicting high-energy proton flux is essential for radiation-effect protection of satellite devices. We introduce a dual-prediction framework based on Graph Neural Networks (GNN) to model ...
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