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Blockchained supply chain management based on IoT tracking and machine learning.

Zhongping DongWei LiangYan LiangWeibo GaoYi Lu
Published in: EURASIP journal on wireless communications and networking (2022)
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.
Keyphrases
  • machine learning
  • working memory
  • artificial intelligence
  • optic nerve
  • big data
  • health information
  • deep learning
  • high intensity
  • healthcare
  • global health
  • social media
  • optical coherence tomography