Review Paper:
The Role of GPT
and Data Fusion in improving Disaster Prediction
Deb Saikat and Mazumdar Mriganka
Disaster Advances; Vol. 17(7); 29-35;
doi: https://doi.org/10.25303/177da029035; (2024)
Abstract
The application of data fusion for disaster prediction using GPT (Generative Pre-trained
Transformer) is covered in this study. Data fusion is the process of merging information
from several sources including social media, sensor data, and simulation data, in
order to increase the precision of catastrophe prediction models. Through the utilization
of GPT, an artificial intelligence language model, data fusion enables a thorough
examination and amalgamation of data from disparate fields, hence producing more
resilient forecasts.
GPT models may be used to recognize geographical descriptions from social media
postings and identify cell kinds using information about marker genes. Proactive
communication with impacted people in times of catastrophe is made possible by the
integration of GPT with social media monitoring. GPT models may significantly enhance
disaster preparedness, response, prediction, and recovery by gathering pertinent
data from many sources and modelling various situations.
