AI-driven autonomous vehicles as COVID-19 assessment centers: A novel crowdsensing-enabled strategy
- 9 June 2021
- journal article
- research article
- Published by Elsevier BV in Pervasive and Mobile Computing
- Vol. 75, 101426
- https://doi.org/10.1016/j.pmcj.2021.101426
Abstract
No abstract availableKeywords
Funding Information
- Natural Sciences and Engineering Research Council of Canada
This publication has 38 references indexed in Scilit:
- Graph Structure Learning from Unlabeled Data for Early Outbreak DetectionIEEE Intelligent Systems, 2017
- CrowdSenSim: a Simulation Platform for Mobile Crowdsensing in Realistic Urban EnvironmentsIEEE Access, 2017
- Mobile Crowd Sensing for Traffic Prediction in Internet of VehiclesSensors, 2016
- Synthesis of a high resolution social contact network for Delhi with application to pandemic planningArtificial Intelligence in Medicine, 2015
- Incentive Mechanisms for Crowdsensing: Crowdsourcing With SmartphonesIEEE/ACM Transactions on Networking, 2015
- Mobile crowd sensing in space weather monitoring: the mahali projectIEEE Communications Magazine, 2014
- Trustworthy Sensing for Public Safety in Cloud-Centric Internet of ThingsIEEE Internet of Things Journal, 2014
- New Directions in Artificial Intelligence for Public Health SurveillanceIEEE Intelligent Systems, 2012
- Clustering of the self-organizing mapIEEE Transactions on Neural Networks, 2000
- Self-organized formation of topologically correct feature mapsBiological Cybernetics, 1982