The state of the art in deep learning applications, challenges, and future prospects: A comprehensive review of flood forecasting and management
Floods are a devastating natural calamity that may seriously harm both infrastructure and
people. Accurate flood forecasts and control are essential to lessen these effects and …
people. Accurate flood forecasts and control are essential to lessen these effects and …
Deep Learning for Earthquake Disaster Assessment: Objects, Data, Models, Stages, Challenges, and Opportunities
J Jia, W Ye - Remote Sensing, 2023 - mdpi.com
Earthquake Disaster Assessment (EDA) plays a critical role in earthquake disaster
prevention, evacuation, and rescue efforts. Deep learning (DL), which boasts advantages in …
prevention, evacuation, and rescue efforts. Deep learning (DL), which boasts advantages in …
A citizen science approach for analyzing social media with crowdsourcing
Social media have the potential to provide timely information about emergency situations
and sudden events. However, finding relevant information among the millions of posts being …
and sudden events. However, finding relevant information among the millions of posts being …
Contribution of social media analytics to disaster response effectiveness: A systematic review of the literature
Disasters are sudden and catastrophic events with fatal consequences. Time-sensitive
information collection from disaster zones is crucial for improved and data-driven disaster …
information collection from disaster zones is crucial for improved and data-driven disaster …
Designing multimodal interactive dashboard of disaster management systems
Disasters and crises are inevitable in this world. In the aftermath of a disaster, a society's
overall growth, resources, and economy are greatly affected as they cause damages from …
overall growth, resources, and economy are greatly affected as they cause damages from …
[HTML][HTML] A New Approach to Detect Driver Distraction to Ensure Traffic Safety and Prevent Traffic Accidents: Image Processing and MCDM
KD Alemdar, MY Çodur - Sustainability, 2024 - mdpi.com
One of the factors that threaten traffic safety and cause various traffic problems is distracted
drivers. Various studies have been carried out to ensure traffic safety and, accordingly, to …
drivers. Various studies have been carried out to ensure traffic safety and, accordingly, to …
Ungauged Basin Flood Prediction Using Long Short-Term Memory and Unstructured Social Media Data
J Lee, S Hwang - Water, 2023 - mdpi.com
Floods are highly perilous and recurring natural disasters that cause extensive property
damage and threaten human life. However, the paucity of hydrological observational data …
damage and threaten human life. However, the paucity of hydrological observational data …
Images Connect Us Together: Navigating a COVID-19 Local Outbreak in China Through Social Media Images
Social media images, curated or casual, have become a crucial component of
communicating situational information and emotions during health crises. Despite its …
communicating situational information and emotions during health crises. Despite its …
ModelOps for enhanced decision-making and governance in emergency control rooms
For mission critical (MC) applications such as bushfire emergency management systems
(EMS), understanding the current situation as a disaster unfolds is critical to saving lives …
(EMS), understanding the current situation as a disaster unfolds is critical to saving lives …
Role of Social Media Imagery in Disaster Informatics
The recent literature reports several practical and important use cases of social media
informatics where artificial intelligence (AI), machine learning (ML), and other relevant …
informatics where artificial intelligence (AI), machine learning (ML), and other relevant …