Automated machine learning approaches for emergency response and coordination via social media in the aftermath of a disaster: A review

L Dwarakanath, A Kamsin, RA Rasheed… - Ieee …, 2021 - ieeexplore.ieee.org
Social media communication serves as an integral part of the crisis response following a
mass emergency (disaster) event. Regardless of the kind of disaster event, whether it is a …

Learning spatial-temporal regularized correlation filters for visual tracking

F Li, C Tian, W Zuo, L Zhang… - Proceedings of the …, 2018 - openaccess.thecvf.com
Abstract Discriminative Correlation Filters (DCF) are efficient in visual tracking but suffer from
unwanted boundary effects. Spatially Regularized DCF (SRDCF) has been suggested to …

Actionable information in flood risk communications and the potential for new web-based tools for long-term planning for individuals and community

RB Mostafiz, RV Rohli, CJ Friedland… - Frontiers in earth …, 2022 - frontiersin.org
Because of its ubiquitous nature and catastrophic impacts, flood information should be
readily available and continually evaluated, to maximize utility for the public and …

Using AI and social media multimodal content for disaster response and management: Opportunities, challenges, and future directions

M Imran, F Ofli, D Caragea, A Torralba - Information Processing & …, 2020 - Elsevier
Abstract People increasingly use Social Media (SM) platforms such as Twitter and Facebook
during disasters and emergencies to post situational updates including reports of injured or …

From situational awareness to actionability: Towards improving the utility of social media data for crisis response

H Zade, K Shah, V Rangarajan, P Kshirsagar… - Proceedings of the …, 2018 - dl.acm.org
People are increasingly sharing information on social media during disaster events. This
information could be valuable to emergency responders, but there remain challenges for …

Sensing flooded roads to support roadway mobility during flooding: a web-based tool and insights from needs assessment interviews

P Panakkal, ESM Fattoracci, JE Padgett… - Natural hazards …, 2023 - ascelibrary.org
Reliable sensing of roadway conditions during flooding is a long-standing, challenging
problem with societal importance for roadway safety. Tools that provide real-time data on …

[HTML][HTML] Detection of actionable tweets in crisis events

A Kruspe, J Kersten, F Klan - Natural Hazards and Earth …, 2021 - nhess.copernicus.org
Messages on social media can be an important source of information during crisis situations.
They can frequently provide details about developments much faster than traditional sources …

Social-eoc: Serviceability model to rank social media requests for emergency operation centers

H Purohit, C Castillo, M Imran… - 2018 IEEE/ACM …, 2018 - ieeexplore.ieee.org
The public expects a prompt response from emergency services to address requests for help
posted on social media. However, the information overload of social media experienced by …

On detecting urgency in short crisis messages using minimal supervision and transfer learning

M Kejriwal, P Zhou - Social Network Analysis and Mining, 2020 - Springer
Humanitarian disasters have been on the rise in recent years due to the effects of climate
change and socio-political situations such as the refugee crisis. Technology can be used to …

Safer this way: Identifying flooded roads for facilitating mobility during floods

P Panakkal, AM Wyderka, JE Padgett, PB Bedient - Journal of Hydrology, 2023 - Elsevier
Severe storms and associated flooding pose a significant risk to urban mobility.
Consequently, 40 to 63% of flood-related deaths are linked to roadway-related incidents in …