Machine learning in disaster management: recent developments in methods and applications
Recent years include the world's hottest year, while they have been marked mainly, besides
the COVID-19 pandemic, by climate-related disasters, based on data collected by the …
the COVID-19 pandemic, by climate-related disasters, based on data collected by the …
Applications of artificial intelligence for disaster management
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …
socioeconomic loss. The actual damage and loss observed in the recent decades has …
Twitter reveals human mobility dynamics during the COVID-19 pandemic
The current COVID-19 pandemic raises concerns worldwide, leading to serious health,
economic, and social challenges. The rapid spread of the virus at a global scale highlights …
economic, and social challenges. The rapid spread of the virus at a global scale highlights …
Forecasting power demand in China with a CNN-LSTM model including multimodal information
D Wang, J Gan, J Mao, F Chen, L Yu - Energy, 2023 - Elsevier
Accurate forecasting of social power demand is the country's primary task in making
decisions on power overall planning, coal power withdrawal, and renewable energy …
decisions on power overall planning, coal power withdrawal, and renewable energy …
Social sensing in disaster city digital twin: Integrated textual–visual–geo framework for situational awareness during built environment disruptions
This paper proposed and tested an integrated textual–visual–geo framework to enhance
social sensing techniques in smart city digital twins in the context of disasters. Effective and …
social sensing techniques in smart city digital twins in the context of disasters. Effective and …
Spatiotemporal event detection: A review
The advancements of sensing technologies, including remote sensing, in situ sensing,
social sensing, and health sensing, have tremendously improved our capability to observe …
social sensing, and health sensing, have tremendously improved our capability to observe …
Improving crisis events detection using distilbert with hunger games search algorithm
This paper presents an alternative event detection model based on the integration between
the DistilBERT and a new meta-heuristic technique named the Hunger Games Search …
the DistilBERT and a new meta-heuristic technique named the Hunger Games Search …
Mining public sentiments and perspectives from geotagged social media data for appraising the post-earthquake recovery of tourism destinations
Post-disaster recovery involves interdependent processes of physical and psychological
rehabilitations. Over the past few years, researchers have explored geotagged social media …
rehabilitations. Over the past few years, researchers have explored geotagged social media …
ContCommRTD: A distributed content-based misinformation-aware community detection system for real-time disaster reporting
Real-time social media data can provide useful information on evolving hazards. Alongside
traditional methods of disaster detection, the integration of social media data can …
traditional methods of disaster detection, the integration of social media data can …
A social media event detection framework based on transformers and swarm optimization for public notification of crises and emergency management
Social media allows the spread of vital information regarding crises and emergencies. Thus,
emergency management systems can benefit from social media because they can be used …
emergency management systems can benefit from social media because they can be used …