The state of the art in deep learning applications, challenges, and future prospects: A comprehensive review of flood forecasting and management

V Kumar, HM Azamathulla, KV Sharma, DJ Mehta… - Sustainability, 2023 - mdpi.com
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 …

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 …

A citizen science approach for analyzing social media with crowdsourcing

C Bono, MO Mülâyim, C Cappiello, MJ Carman… - IEEE …, 2023 - ieeexplore.ieee.org
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 …

Contribution of social media analytics to disaster response effectiveness: A systematic review of the literature

T Acikara, B Xia, T Yigitcanlar, C Hon - Sustainability, 2023 - mdpi.com
Disasters are sudden and catastrophic events with fatal consequences. Time-sensitive
information collection from disaster zones is crucial for improved and data-driven disaster …

Designing multimodal interactive dashboard of disaster management systems

A AlAbdulaali, A Asif, S Khatoon, M Alshamari - Sensors, 2022 - mdpi.com
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 …

[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 …

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 …

Images Connect Us Together: Navigating a COVID-19 Local Outbreak in China Through Social Media Images

C He, L He, W Yang, B Li - Proceedings of the ACM on Human-Computer …, 2024 - dl.acm.org
Social media images, curated or casual, have become a crucial component of
communicating situational information and emotions during health crises. Despite its …

ModelOps for enhanced decision-making and governance in emergency control rooms

K Lefevre, C Arora, K Lee, A Zaslavsky… - … Systems and Decisions, 2022 - Springer
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 …

Role of Social Media Imagery in Disaster Informatics

F Alam, K Ahmad, MA Hasan, F Ofli, M Imran - International Handbook of …, 2023 - Springer
The recent literature reports several practical and important use cases of social media
informatics where artificial intelligence (AI), machine learning (ML), and other relevant …