Related references
Note: Only part of the references are listed.Spatiotemporal characteristic aware task allocation strategy using sparse user data in mobile crowdsensing
Tong Tang et al.
WIRELESS NETWORKS (2023)
OPAT: Optimized Allocation of Time-Dependent Tasks for Mobile Crowdsensing
Yang Huang et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2022)
Surface monitoring of road pavements using mobile crowdsensing technology
Francesco Abbondati et al.
MEASUREMENT (2021)
Differentially Private Unknown Worker Recruitment for Mobile Crowdsensing Using Multi-Armed Bandits
Hui Zhao et al.
IEEE TRANSACTIONS ON MOBILE COMPUTING (2021)
Keeping Cell Selection Model Up-to-Date to Adapt to Time-Dependent Environment in Sparse Mobile Crowdsensing
Lei Han et al.
IEEE INTERNET OF THINGS JOURNAL (2021)
User Recruitment for Enhancing Data Inference Accuracy in Sparse Mobile Crowdsensing
Wenbin Liu et al.
IEEE INTERNET OF THINGS JOURNAL (2020)
Social-Network-Assisted Worker Recruitment in Mobile Crowd Sensing
Jiangtao Wang et al.
IEEE TRANSACTIONS ON MOBILE COMPUTING (2019)
Dynamic Participant Selection for Large-Scale Mobile Crowd Sensing
Hanshang Li et al.
IEEE TRANSACTIONS ON MOBILE COMPUTING (2019)
Online Quality-Aware Incentive Mechanism for Mobile Crowd Sensing with Extra Bonus
Hui Gao et al.
IEEE TRANSACTIONS ON MOBILE COMPUTING (2019)
ALC2: When Active Learning Meets Compressive Crowdsensing for Urban Air Pollution Monitoring
Tong Liu et al.
IEEE INTERNET OF THINGS JOURNAL (2019)
Submodular Trajectories for Better Motion Segmentation in Videos
Jianbing Shen et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2018)
Vehicle Trajectory Prediction by Integrating Physics- and Maneuver-Based Approaches Using Interactive Multiple Models
Guotao Xie et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2018)
Mobile Crowdsensing Games in Vehicular Networks
Liang Xiao et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2018)
Tracking by Prediction: A Deep Generative Model for Mutli-Person localisation and Tracking
Tharindu Fernando et al.
2018 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2018) (2018)
Multi-Expertise Aware Participant Selection in Mobile Crowd Sensing via Online Learning
Hanshang Li et al.
2018 IEEE 15TH INTERNATIONAL CONFERENCE ON MOBILE AD HOC AND SENSOR SYSTEMS (MASS) (2018)
SS-LSTM: A Hierarchical LSTM Model for Pedestrian Trajectory Prediction
Hao Xue et al.
2018 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2018) (2018)
Crowd Foraging: A QoS-Oriented Self-Organized Mobile Crowdsourcing Framework Over Opportunistic Networks
Lingjun Pu et al.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS (2017)
Sparse mobile crowdsensing: challenges and opportunities
Leye Wang et al.
IEEE COMMUNICATIONS MAGAZINE (2016)
Mastering the game of Go with deep neural networks and tree search
David Silver et al.
NATURE (2016)
A Compressive Sensing Approach to Urban Traffic Estimation with Probe Vehicles
Yanmin Zhu et al.
IEEE TRANSACTIONS ON MOBILE COMPUTING (2013)
Share Paper
