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[HTML][HTML] A review of spatially-explicit GeoAI applications in Urban Geography
Urban Geography studies forms, social fabrics, and economic structures of cities from a
geographic perspective. Catalysed by the increasingly abundant spatial big data, Urban …
geographic perspective. Catalysed by the increasingly abundant spatial big data, Urban …
The rising role of big data analytics and IoT in disaster management: recent advances, taxonomy and prospects
The recent development of big data analytics (BDA) and the Internet of Things (IoT)
technologies create a huge opportunity for both disaster management systems and disaster …
technologies create a huge opportunity for both disaster management systems and disaster …
[HTML][HTML] Automatic identification of eyewitness messages on twitter during disasters
Social media platforms such as Twitter provide convenient ways to share and consume
important information during disasters and emergencies. Information from bystanders and …
important information during disasters and emergencies. Information from bystanders and …
Challenges in the adoption of crisis crowdsourcing and social media in Canadian emergency management
When a disaster occurs, government agencies are responsible for managing the response
and recovery efforts of the impacted communities and infrastructure. Crowdsourcing and …
and recovery efforts of the impacted communities and infrastructure. Crowdsourcing and …
Social media use in emergency response to natural disasters: a systematic review with a public health perspective
Social media research during natural disasters has been presented as a tool to guide
response and relief efforts in the disciplines of geography and computer sciences. This …
response and relief efforts in the disciplines of geography and computer sciences. This …
Natural disaster application on big data and machine learning: A review
RR Arinta, EA WR - 2019 4th International Conference on …, 2019 - ieeexplore.ieee.org
Natural disasters are events that are difficult to avoid. There are several ways of reducing the
risks of natural disasters. One of them is implementing disaster reduction programs. There …
risks of natural disasters. One of them is implementing disaster reduction programs. There …
A survey of multiple types of text summarization with their satellite contents based on swarm intelligence optimization algorithms
Due to the tremendous increment of data on the web, extracting the most important data as a
conceptual brief would be valuable for certain users. Therefore, there is a massive …
conceptual brief would be valuable for certain users. Therefore, there is a massive …
[HTML][HTML] Research on lightweight disaster classification based on high-resolution remote sensing images
With the increasing frequency of natural disasters becoming, it is very important to classify
and identify disasters. We propose a lightweight disaster classification model, which has …
and identify disasters. We propose a lightweight disaster classification model, which has …
[HTML][HTML] Geolocating tweets via spatial inspection of information inferred from tweet meta-fields
M Zohar - International Journal of Applied Earth Observation and …, 2021 - Elsevier
In the last 10, years the Twitter social network has become a robust messaging platform. To
date, Twitter has more than 500 million users worldwide. A given tweet can contain the …
date, Twitter has more than 500 million users worldwide. A given tweet can contain the …
Unpacking the role of volunteered geographic information in disaster management: focus on data quality
The increasing occurrence of disasters worldwide has motivated researchers to
continuously evaluate potential technological advances to support disaster management …
continuously evaluate potential technological advances to support disaster management …