Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology
Reference43 articles.
1. Ahadzadeh S, Malek MR (2021) Earthquake damage assessment based on user generated data in social networks. Sustainability 13(9):4814. https://doi.org/10.3390/su13094814
2. Allahbakhsh, M, Ignjatovic A, Benatallah B, Beheshti S, Bertino E, Foo N (2012) Reputation management in crowdsourcing systems. In: Proceedings of the 8th IEEE international conference on collaborative computing: networking, applications and worksharing. https://doi.org/10.4108/icst.collaboratecom.2012.250499.
3. Avvenuti M, Bellomo S, Cresci S, La Polla MN, Tesconi M (2017) Hybrid crowdsensing: a novel paradigm to combine the strengths of opportunistic and participatory crowdsensing. In: Paper presented at the proceedings of the 26th international conference on World Wide Web companion. https://doi.org/10.1145/3041021.3051155.
4. Azzam R, Mizouni R, Otrok H, Ouali A, Singh S (2016) GRS: a group-based recruitment system for mobile crowd sensing. J Netw Comput Appl 72:38–50. https://doi.org/10.1016/j.jnca.2016.06.015
5. Barrington L, Ghosh S, Greene M, Har-Noy S, Berger J, Gill S, Huyck C (2011) Crowdsourcing earthquake damage assessment using remote sensing imagery. Ann Geophys 54(6). http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.387.6482&rep=rep1&type=pdf Accessed 23 June 2022.
Cited by
4 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