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Updated: Jan 29, 2026

Deep Learning-Based Segmentation of Cryo-Electron Tomograms
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整合区块链可追溯性和深度学习,用于谷物和石油的风险预测 食品安全

Hongyi Ge1,2,3, Kairui Fan1,2,3, Yuan Zhang1,2,3

  • 1Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China.

Foods (Basel, Switzerland)
|January 28, 2026
PubMed
概括

这项研究引入了一种新的深度学习模型,用于预测谷物和油的食品安全风险. 整合区块链技术提高了数据可追溯性和可信度,改善了食品质量管理.

关键词:
区块链区块链区块链区块链区块链粮食和油类食品 粮食和油类食品灰色的关系分析.风险预测风险预测

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