Transformer technologies, like generative pre-trained transformers (GPTs) and bidirectional
encoder representations from transformers (BERT) are increasingly utilized for …

This research investigates the integration of artificial intelligence (AI), flood risk
management, political dynamics, and entrepreneurship in enhancing resilient city …

Like all other fields, Artificial Intelligence (AI) is expected to affect the Impact Assessment (IA)
systems worldwide. This study explores the opinions and concerns of international IA …

Social media is now the predominant source of information due to the availability of
immediate public response. As a result, social media data has become a valuable resource …

Floods pose significant risks to both human lives and property, necessitating effective flood
risk management strategies. One promising approach for enhancing flood risk management …

Studies in digital conservation have increasingly used social media in recent years as a
source of data to understand the interactions between humans and nature, model and …

During disasters, timely and accurate information is paramount for effective decision-making
and resource allocation. Social media (SM) platforms, particularly X platform (formerly …

Natural and manmade disasters like landslides, floods, earthquake, cyclone, shooting, riots
have detrimental effect in precious life, infrastructure, and economy. This study addresses …

Social sensing, using humans as sensors to collect disaster data, has emerged as a timely,
cost-effective, and reliable data source. However, research has focused on the textual data …

Abstract The World Bank lists flooding as one of the main pressures on a community.
Flooding can affect development prospects and potentially reverse decades of progress in …