Design and Implementation of Pollution Source Automatic Monitoring System Based on Big Data-Reference-Cited by-同舟云学术

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Design and Implementation of Pollution Source Automatic Monitoring System Based on Big Data

Published:2023-12-29 Issue: Volume: Page:643-649
ISSN:
Container-title:2023 International Conference on Internet of Things, Robotics and Distributed Computing (ICIRDC)
language:
Short-container-title:

Author:

Men Ning¹,Zhang Cheng¹,Zhang Weixing²

Affiliation:

1. Henan Ecological Environment Monitoring and Safety Center,Zhengzhou,China,450006

2. Zhengzhou University,School of Cyber Science and Engineering,Zhengzhou,China,450001

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10510672/10510673/10510948.pdf?arnumber=10510948

Reference12 articles.

1. Automatic fast double KNN classification algorithm based on ACC and hierarchical clustering for big data

2. BDCaM: Big Data for Context-Aware Monitoring—A Personalized Knowledge Discovery Framework for Assisted Healthcare

3. Object-Based Ensemble Learning for Pan-European Riverscape Units Mapping Based on Copernicus VHR and EU-DEM Data Fusion

4. Automatic segmentation for pulmonary nodules in CT images based on multifractal analysis

5. The construction of winter wheat smart water saving irrigation system based on big data and internet of things

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Design of Data Collect System for Cloud Computing of Rivers Quality and Level;2024 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA);2024-05-23

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