Mobile Crowdsourcing From Theory to Practice /
This book offers the latest research results in recent development on the principles, techniques and applications in mobile crowdsourcing. It presents state-of-the-art content and provides an in-depth overview of the basic background in this related field. Crowdsourcing involves a large crowd of par...
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| Ente Autore: | |
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| Altri autori: | , |
| Natura: | Elettronico eBook |
| Lingua: | inglese |
| Pubblicazione: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
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| Edizione: | 1st ed. 2023. |
| Serie: | Wireless Networks,
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| Soggetti: | |
| Accesso online: | https://doi.org/10.1007/978-3-031-32397-3 |
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Sommario:
- Crowdsourcing as a Future Collaborative Computing Paradigm
- Urban Mobility-Driven Crowdsensing: Recent Advances in Machine Learning Designs and Ubiquitous Applications
- Unknown User Recruitment in Mobile Crowdsourcing
- Quality-Aware Incentive Mechanism for Mobile Crowdsourcing
- Incentive mechanism design for mobile crowdsourcing without verification
- Stable Worker-Task Assignment in Mobile Crowdsensing Applications
- Spatio temporal Task Allocation in Mobile Crowdsensing
- Joint Data Collection and Truth Inference in Spatial Crowdsourcing
- Cost-quality Aware Compressive Mobile Crowdsensing
- Information Integrity in Participatory Crowd-Sensing via Robust Trust Models
- AI-Driven Attack Modeling and Defence Strategies in Mobile Crowdsensing: A special Case Study on Fake Tasks
- Traceable and Secure Data Sharing in Mobile Crowdsensing
- User Privacy Protection in MCS: Threats, Solutions and Open Issues
- CrowdsourcingThrough TinyML as aWay to Engage End-users in IoT Solutions
- Health Crowd Sensing and Computing: From Crowdsourced Digital Health Footprints to Population Health Intelligence
- Crowdsourcing Applications and Techniques in Computer Vision
- Mobile Crowdsourcing Task Offloading on Social Collaboration Networks: An Empirical Study.