A Dynamic Selection Approach for Quality Control Mechanisms in Crowdsourcing-Reference-Cited by-同舟云学术

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A Dynamic Selection Approach for Quality Control Mechanisms in Crowdsourcing

Published:2019 Issue: Volume:7 Page:38644-38656
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Alabduljabbar Reham^ORCID,Al-Dossari Hmood

Funder

King Saud University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8600701/08672075.pdf?arnumber=8672075

Cited by 14 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. A clarity and fairness aware framework for selecting workers in competitive crowdsourcing tasks;Computing;2024-07-06

2. A Review of Semantic-Based Reasoning Framework for Context-Aware Mobile-Crowdsourcing;2023 13th International Conference on Information Technology in Asia (CITA);2023-08-03

3. Research on Personnel Tracking Based on Location Prediction Under Edge Computing;IEEE Internet of Things Journal;2023

4. A Comprehensive Review of Ontologies in the Hydrology Towards Guiding Next Generation Artificial Intelligence Applications;Journal of Environmental Informatics;2023

5. A blockchain-based framework for data quality in edge-computing-enabled crowdsensing;Frontiers of Computer Science;2022-12-27

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