Abstract: We address universal self-supervised representation learning for time series under label scarcity and distribution shifts. A key challenge is that prevalent encode-then-decompose pipelines ...

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Abstract: This paper presents a novel auto-encoder based end-to-end channel encoding and decoding. It integrates deep reinforcement learning (DRL) and graph neural networks (GNN) in code design by ...

Introduction: The intelligent detection and counting of maize seedlings constitute crucial components in future smart maize cultivation and breeding. However, the detection of maize seedlings in field ...