Edge technologies for disaster management: A survey of social media and artificial intelligence integration
Within the paradigm of smart cities, smart devices can be considered as a tool to enhance
safety. Edge sensing, Internet of Things (IoT), big data, social media analytics, edge …
safety. Edge sensing, Internet of Things (IoT), big data, social media analytics, edge …
Environmental disaster and public rescue: A social media perspective
L Li, Y Du, S Ma, X Ma, Y Zheng, X Han - … Impact Assessment Review, 2023 - Elsevier
Resilient city construction requires cities to be able to cope with and resist disasters on their
own. With the advent and explosive growth of social media such as microblogs, citizens …
own. With the advent and explosive growth of social media such as microblogs, citizens …
Integrating strong-motion recordings and twitter data for a rapid shakemap of macroseismic intensity
Rapid estimation of the intensity of seismic ground motions is crucial for an effective rapid
response when an earthquake occurs. To this end, maps of updated grond-motion fields (or …
response when an earthquake occurs. To this end, maps of updated grond-motion fields (or …
A transformer-based framework for poi-level social post geolocation
POI-level geo-information of social posts is critical to many location-based applications and
services. However, the multi-modality, complexity, and diverse nature of social media data …
services. However, the multi-modality, complexity, and diverse nature of social media data …
Entity Linking for real-time geolocation of natural disasters from social network posts
When a fast kinetic natural disaster occurs, it is crucial that crisis managers quickly
understand the extent of the situation, especially through the development of “big picture” …
understand the extent of the situation, especially through the development of “big picture” …
Geotagging social media posts to landmarks using hierarchical BERT (student abstract)
Geographical information provided in social media data is useful for many valuable
applications. However, only a small proportion of social media posts are explicitly …
applications. However, only a small proportion of social media posts are explicitly …
SURICATE-Nat: Innovative citizen centered platform for Twitter based natural disaster monitoring
S Auclair, F Boulahya, B Birregah… - … on Information and …, 2019 - ieeexplore.ieee.org
It is often difficult to promptly perceive the extent of the consequences of a natural disaster
when roads are cut, mobile phone is saturated, and the fragmentary information coming from …
when roads are cut, mobile phone is saturated, and the fragmentary information coming from …
Leveraging Contrastive Learning for Few-shot Geolocation of Social Posts
Social geolocation is an important problem of predicting the originating locations of social
media posts. However, this task is challenging due to the need for a substantial volume of …
media posts. However, this task is challenging due to the need for a substantial volume of …
[PDF][PDF] Mobility Prediction Based on Deep Learning Approach Using GPS Phone Data
SF Behadil, NK Mhalhal - Ibn AL-Haitham Journal For Pure and Applied …, 2024 - iasj.net
Accurate prediction of activity location is a crucial component in various mobility applications
and is particularly vital for the creation of customized, environmentally friendly transport …
and is particularly vital for the creation of customized, environmentally friendly transport …
Individualized Location Prediction Using Autoencoders and Long-Short Term Memory Networks
G Onwujekwe, Z Men, J Duke - 2024 IEEE 3rd International …, 2024 - ieeexplore.ieee.org
Predicting an individual's future location is a challenging task that has significant
implications for a variety of real-world applications. In this paper, we present a novel location …
implications for a variety of real-world applications. In this paper, we present a novel location …