Artificial intelligence for natural disaster management

Artificial intelligence (AI) can leverage massive amount of diverse types of data, such as geospatial data, social media data, and wireless network sensor data, to enhance our understanding of natural disasters, their forecasting and detection, and humanitarian assistance in natural disaster managem...

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Main Author:	PANG, Guansong
Format:	text
Language:	English
Published:	Institutional Knowledge at Singapore Management University 2022
Subjects:	Social networking (online) Wireless networks Disaster management Geospatial analysis Intelligent systems Forecasting Artificial Intelligence and Robotics Databases and Information Systems Environmental Sciences
Online Access:	https://ink.library.smu.edu.sg/sis_research/7807 https://ink.library.smu.edu.sg/context/sis_research/article/8810/viewcontent/DiasasterAI_av.pdf
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Institution:	Singapore Management University
Language:	English

id	sg-smu-ink.sis_research-8810
record_format	dspace
spelling	sg-smu-ink.sis_research-88102023-04-04T02:53:16Z Artificial intelligence for natural disaster management PANG, Guansong Artificial intelligence (AI) can leverage massive amount of diverse types of data, such as geospatial data, social media data, and wireless network sensor data, to enhance our understanding of natural disasters, their forecasting and detection, and humanitarian assistance in natural disaster management (NDM). Due to this potential, different communities have been dedicating enormous efforts to the development and/or adoption of AI technologies for NDM. This article provides an overview of these efforts and discusses major challenges and opportunities in this topic. 2022-11-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/7807 info:doi/10.1109/MIS.2022.3220061 https://ink.library.smu.edu.sg/context/sis_research/article/8810/viewcontent/DiasasterAI_av.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Social networking (online) Wireless networks Disaster management Geospatial analysis Intelligent systems Forecasting Artificial Intelligence and Robotics Databases and Information Systems Environmental Sciences
institution	Singapore Management University
building	SMU Libraries
continent	Asia
country	Singapore Singapore
content_provider	SMU Libraries
collection	InK@SMU
language	English
topic	Social networking (online) Wireless networks Disaster management Geospatial analysis Intelligent systems Forecasting Artificial Intelligence and Robotics Databases and Information Systems Environmental Sciences
spellingShingle	Social networking (online) Wireless networks Disaster management Geospatial analysis Intelligent systems Forecasting Artificial Intelligence and Robotics Databases and Information Systems Environmental Sciences PANG, Guansong Artificial intelligence for natural disaster management
description	Artificial intelligence (AI) can leverage massive amount of diverse types of data, such as geospatial data, social media data, and wireless network sensor data, to enhance our understanding of natural disasters, their forecasting and detection, and humanitarian assistance in natural disaster management (NDM). Due to this potential, different communities have been dedicating enormous efforts to the development and/or adoption of AI technologies for NDM. This article provides an overview of these efforts and discusses major challenges and opportunities in this topic.
format	text
author	PANG, Guansong
author_facet	PANG, Guansong
author_sort	PANG, Guansong
title	Artificial intelligence for natural disaster management
title_short	Artificial intelligence for natural disaster management
title_full	Artificial intelligence for natural disaster management
title_fullStr	Artificial intelligence for natural disaster management
title_full_unstemmed	Artificial intelligence for natural disaster management
title_sort	artificial intelligence for natural disaster management
publisher	Institutional Knowledge at Singapore Management University
publishDate	2022
url	https://ink.library.smu.edu.sg/sis_research/7807 https://ink.library.smu.edu.sg/context/sis_research/article/8810/viewcontent/DiasasterAI_av.pdf
_version_	1770576517339807744

Artificial intelligence for natural disaster management

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