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Updated: Jul 6, 2025

Deep Neural Networks for Image-Based Dietary Assessment
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设计和评估一个等级框架,在多个来源的地理空间数据集中匹配食品出口:圣地亚哥县的案例研究

Yanjia Cao1, Jiue-An Yang2, Atsushi Nara3

  • 1Department of Geography, The University of Hong Kong, Pok Fu Lam, Hong Kong. yanjiac@hku.hk.

Journal of urban health : bulletin of the New York Academy of Medicine
|January 3, 2024
PubMed
概括

本研究引入了一个双层框架,以准确匹配来自多个来源的食品出售点数据,改进零售食品环境 (RFE) 研究. 这提高了将RFE与健康结果联系起来的研究的可靠性.

关键词:
动 动 动 动 动众包数据是众包的数据.食品数据的公平性 食品数据的公平性感兴趣的地方 (POI)零售食品环境 (RFE) 是一个三角测量是三角测量的方法.

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