Spatial Task Assignment Based on Information Gain in Crowdsourcing-Reference-Cited by-同舟云学术

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Spatial Task Assignment Based on Information Gain in Crowdsourcing

Published:2020-01-01 Issue:1 Volume:7 Page:139-152
ISSN:2327-4697
Container-title:IEEE Transactions on Network Science and Engineering
language:
Short-container-title:IEEE Trans. Netw. Sci. Eng.

Author:

Tang Feilong^ORCID,Zhang Heteng^ORCID

Funder

National Natural Science Foundation of China

Huawei Technologies

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/6488902/9025091/08614430.pdf?arnumber=8614430

Cited by 13 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. An Efficient Path Recognition Multi-Layered framework for Healthcare Critical Application;2023 IEEE 8th International Conference for Convergence in Technology (I2CT);2023-04-07

2. Assuring quality and waiting time in real-time spatial crowdsourcing;Decision Support Systems;2023-01

3. Nash Equilibrium in Macro-Task Crowdsourcing Systems With Collective-Effort-Dependent Rewarding;IEEE Transactions on Network Science and Engineering;2023

4. Cooperative task assignment in spatial crowdsourcing via multi-agent deep reinforcement learning;Journal of Systems Architecture;2022-07

5. A Low-Code Framework for Complex Crowdsourcing Work Based on Process Modeling;Computational Intelligence and Neuroscience;2022-04-29

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