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Text-to-image generation with enhanced GANs: Bridging semantic gaps using RNN and CNN. [PDF]
Ramzan S +5 more
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The Role of Artificial Intelligence in Diagnosing Pulmonary Embolism: A Systematic Review and Meta-analysis. [PDF]
Farzaei A +8 more
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A channel water temperature prediction method based on transfer learning and spatial-temporal graph neural networks. [PDF]
Lu H, Tian Y, Weng P, Qiao Y.
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Hierarchical multi-attention neural networks for sensor fault diagnosis and mitigation in digital twins. [PDF]
Pan L, Li H, Li X, Bi D, Peng L, Xie Y.
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Hypergraph Convolutional Recurrent Neural Network
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2020In this study, we present a hypergraph convolutional recurrent neural network (HGC-RNN), which is a prediction model for structured time-series sensor network data. Representing sensor networks in a graph structure is useful for expressing structural relationships among sensors.
Jaehyuk Yi, Jinkyoo Park
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