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• W4312174329 abstract "The 6G Internet of Things (IoT) is of utmost importance when it comes to running and controlling contemporary supply chains. Blockchain and machine learning (ML) are two upper-layer technologies that can assist with securing and automating the IoT. First, we propose integrating blockchain technology into modern supply chains to facilitate effective communication among all partners. Second, for inbound logistics task prediction, we develop Multi-Head Attention (MHA)-Based Gated Recurrent Unit (GRU). Finally, numerical findings demonstrate that the MHA-Based GRU model has satisfying fitting efficiency and prediction precision compared to its competitors." @default.
• W4312174329 created "2023-01-04" @default.
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• W4312174329 date "2022-12-22" @default.
• W4312174329 modified "2023-10-16" @default.
• W4312174329 title "6G IoT Tracking- and Machine Learning-Enhanced Blockchained Supply Chain Management" @default.
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• W4312174329 doi "https://doi.org/10.3390/electronics12010040" @default.
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