Context-aware data quality estimation in mobile crowdsensing
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8049192/8056940/08057033.pdf?arnumber=8057033
Cited by 34 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. Incentivizing Massive Unknown Workers for Budget-Limited Crowdsensing: From Off-Line and On-Line Perspectives;IEEE/ACM Transactions on Networking;2024-06
2. Learning Context-Aware Probabilistic Maximum Coverage Bandits: A Variance-Adaptive Approach;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications;2024-05-20
3. When Crowdsourcing Meets Data Markets: A Fair Data Value Metric for Data Trading;Journal of Computer Science and Technology;2024-05
4. MLM-WR: A Swarm-Intelligence-Based Cloud–Edge–Terminal Collaboration Data Collection Scheme in the Era of AIoT;IEEE Internet of Things Journal;2024-01-01
5. Data Quality Assessment in Mobile Crowdsensing by Utilizing Psychology Effect;2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2023-12-21
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