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Edge computing-based intelligent monitoring system for manhole cover.

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第一作者： Liang,Yu

第一单位： College of Computer Science, Guangdong University of Science and Technology, Dongguan 523000, China.;AIoT Edge Computing Engineering Technology Research Center of Dongguan City, Guangdong University of Science and Technology, Dongguan 523000, China.

作者： Liang,Yu ^[1] ; Zhengkuan,Zhang ^[2] ; Yangbing,Lai ^[3] ; Yang,Zhao ^[4] ; Fu,Mo ^[5]

作者单位： College of Computer Science, Guangdong University of Science and Technology, Dongguan 523000, China.;AIoT Edge Computing Engineering Technology Research Center of Dongguan City, Guangdong University of Science and Technology, Dongguan 523000, China. ^[1] R&D Department, Kingsun Optoelectronics Co., Ltd., Dongguan 523565, China. ^[2] College of Computer Science, Guangdong University of Science and Technology, Dongguan 523000, China. ^[3] College of Mechanical and Electrical Engineering, Guangdong University of Science and Technology, Dongguan 523000, China.;Intelligent Manufacturing and Environmental Monitoring Engineering Technology Research Center of Dongguan City, Guangdong University of Science and Technology, Dongguan 523000, China. ^[4] College of Mechanical and Electrical Engineering, Guangdong University of Science and Technology, Dongguan 523000, China. ^[5]

关键词 LoRa average response time edge computing edge impulse platform (EI) lightweight machine learning model manhole cover (MC) pedestrian security

DOI 10.3934/mbe.2023833

PMID 38052579

发布时间 2023-12-05

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