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• W4313332034 abstract "Abstract When it comes to running and managing modern supply chains, 6G Internet of things (IoT) is of utmost importance. To provide IoT with security and automation, blockchain and machine learning are two upper-layer technology that can help. First, we propose to utilize blockchain in modern supply chains to ensure efficient collaboration between all parties. Second, we adopt multi-head attention (MHA)-based gated recurrent unit (GRU) to do inbound logistics task prediction. Finally, numerical results justify that multi-head attention-based GRU model has better fitting efficiency and prediction accuracy than its counterparts." @default.
• W4313332034 created "2023-01-06" @default.
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• W4313332034 date "2022-12-29" @default.
• W4313332034 modified "2023-10-14" @default.
• W4313332034 title "Blockchained supply chain management based on IoT tracking and machine learning" @default.
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• W4313332034 doi "https://doi.org/10.1186/s13638-022-02209-0" @default.
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