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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
Crowdsourcing Through 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.
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
Crowdsourcing Through 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.