SmartWaterSens: A Crowdsensing-based Approach to Groundwater Contamination Estimation-Reference-Cited by-同舟云学术

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SmartWaterSens: A Crowdsensing-based Approach to Groundwater Contamination Estimation

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Smart Computing (SMARTCOMP)
language:
Short-container-title:

Author:

Shang Lanyu¹,Zhang Yang²,Ye Quanhui³,Wei Na³,Wang Dong¹

Affiliation:

1. School of Information Sciences, University of Illinois at Urbana-Champaign,Champaign,IL,USA

2. University of Notre Dame,Department of Computer Science and Engineering,Notre Dame,IN,USA

3. University of Illinois at Urbana-Champaign,Department of Civil and Environmental Engineering,Urbana,IL,USA

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9820747/9820748/09821065.pdf?arnumber=9821065

Reference36 articles.

1. Modeling Relational Data with Graph Convolutional Networks

2. The Cosine-Haversine Formula

3. Water and nitrate loss from dryland agricultural soils is controlled by management, soils, and weather

4. Modeling of aquifer vulnerability index using deep learning neural networks coupling with optimization algorithms

Cited by 3 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. DPIM: Dynamic Pricing Incentive Mechanism for Mobile Crowd Sensing;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

2. CrowdWaterSens: An uncertainty-aware crowdsensing approach to groundwater contamination estimation;Pervasive and Mobile Computing;2023-05

3. Further Readings;Social Edge Computing;2023

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