Disaster Rescue Communication Using Mobile Devices, Social Media, and Artificial Intelligence-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Disaster Rescue Communication Using Mobile Devices, Social Media, and Artificial Intelligence

Published:2022-11-18 Issue: Volume: Page:1-17
ISSN:
Container-title:International Handbook of Disaster Research
language:
Short-container-title:

Author:

Stephens Keri K.^ORCID,Carlson Nancy H.^ORCID,Xu Yifan^ORCID

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-8800-3_175-1

Reference58 articles.

1. Alam, F., Ofli, F., & Imran, M. (2018). CrisisMMD: Multimodal twitter datasets from natural disasters. In Proceedings of the twelfth International AAAI Conference on Web and Social Media (ICWSM 2018). https://arxiv.org/abs/1805.00713

2. Anderson, J., Saez, G. C., Anderson, K. M., Palen, L., & Morss, R. (2019). Incorporating context and location into social media analysis: A scalable, cloud-based approach for more powerful data science. In Proceedings of the 52nd Hawaii international conference on system sciences. https://aisel.aisnet.org/hicss-52/dsm/data_mining/8/

3. Bean, H., Cruz, A. M., Shimizu, M., Stephens, K. K., McGlone, M., & Strover, S. (2021a). Mobile alert and warning in the United States and Japan: Confronting the challenges of international harmonization. International Journal of Disaster Risk Science, 12(6), 928–934. https://doi.org/10.1007/s13753-021-00380-4

4. Bean, H., Grevstad, N., Meyer, A., & Koutsoukos, A. (2021b). Exploring whether wireless emergency alerts can help impede the spread of Covid-19. Journal of Contingencies and Crisis Management, 1–19. https://doi.org/10.1111/1468-5973.12376

5. Brennan, S., Sadilek, A., & Kautz, H. (2013). Towards understanding global spread of disease from everyday interpersonal interactions. In Proceedings of IJCAI. AAAI Press, 2783–2789. https://doi.org/10.5555/2540128.2540530.

Cited by 1 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

1. Rescue me : AI Emergency Response and Disaster Management System;2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA);2024-03-15

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3