AI-Powered Disaster Data Calculation & SMS Alerting: An Overview
Natural disasters pose major threats to human life and infrastructure, necessitating the speedy and precise calculation of catastrophic data as well as effective alerting mechanisms to mitigate potential losses. Artificial intelligence (AI) discoveries have played a major role in altering disaster management strategies in recent years. This research study gives an overview of existing survey studies that investigate the usage of artificial intelligence-powered algorithms for disaster data processing and SMS notifications. Various AI-based methodologies, such as machine learning algorithms, deep learning models, and data fusion techniques, have been used to manage a variety of data sources, including satellite photos, remote sensors, and social media feeds. These AI-powered systems have demonstrated remarkable abilities in assessing disaster severity, estimating affected population density, and detecting severe infrastructure damage.
Authors
- Anju Asokan (ORCID: https://orcid.org/0000-0002-5669-1686)
- R Sandhiya
- B Bhuvanesh
Institutions
- Sri Eshwar College of Engineering
Publication Details
- Published
- 2024-10-23
- DOI
- https://doi.org/10.1109/icssas64001.2024.10760432
- Citations
- 3
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 1.21