From Text to Transformation: A Comprehensive Review of Large Language Models' Versatility

P Kaur, GS Kashyap, A Kumar, MT Nafis… - arXiv preprint arXiv …, 2024 - arxiv.org
This groundbreaking study explores the expanse of Large Language Models (LLMs), such
as Generative Pre-Trained Transformer (GPT) and Bidirectional Encoder Representations …

GeoAI for Science and the Science of GeoAI

W Li, S Arundel, S Gao, M Goodchild, Y Hu… - Journal of Spatial …, 2024 - 204.48.17.207
This paper reviews trends in GeoAI research and discusses cutting-edge advances in GeoAI
and its roles in accelerating environmental and social sciences. It addresses ongoing …

Enhancing emergency decision-making with knowledge graphs and large language models

M Chen, Z Tao, W Tang, T Qin, R Yang… - International Journal of …, 2024 - Elsevier
Emergency management urgently requires comprehensive knowledge while having a high
possibility to go beyond individuals' cognitive scope. Therefore, artificial intelligence (AI) …

[PDF][PDF] Geospatial AI and data analytics for satellite-based disaster prediction and risk assessment

AI Afolabi, NY Hussain, B Austin-Gabriel, AB Ige… - 2023 - researchgate.net
Abstract The integration of Geospatial Artificial Intelligence (GeoAI) and data analytics with
satellite technology offers transformative potential in disaster prediction and risk …

[PDF][PDF] Geospatial Artificial Intelligence (GeoAI) and GIS in Building Damage Assessment and Accessibility to Neighbourhood Parks: A McDonough County Study

A Jazbec - 2024 - researchgate.net
This study explores the application of Geospatial Artificial Intelligence (GeoAI) and
Geographic Information Systems (GIS) in assessing building damage and evaluating …