The remarkable achievements of ChatGPT and Generative Pre-trained Transformer 4 (GPT-
4) have sparked a wave of interest and research in the field of large language models …

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

As unconventional sources of geoinformation, massive imagery and text messages from
open platforms and social media form a temporally quasi-seamless, spatially …

Information sharing is one of the huge topics in social media platform regarding the daily
news related to events or disasters happens in nature or its human-made. The automatic …

Social media informs the public about the most important events and conveys important
information. Before, during, and after disasters, social media are used to disseminate …

Twitter data has become established as a valuable source of data for various application
scenarios in the past years. For many such applications, it is necessary to know where …

Existing studies on Twitter-based natural disaster analysis suffer from shortcomings like
limitations on supported languages, lack of sentiment analysis, regional restrictions, lack of …

Understanding the public's diverse linguistic expressions about rainfall and flood provides a
basis for flood disaster studies and enhances linguistic and cultural awareness. However …

Social media has become an important information source for crisis management and
provides quick access to ongoing developments and critical information. However …

Given a natural language expression and a remote sensing image, the goal of referring
remote sensing image segmentation (RRSIS) is to generate a pixel-level mask of the target …