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.

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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
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article

AI-Powered Disaster Data Calculation & SMS Alerting: An Overview

Anju Asokan, R Sandhiya, B Bhuvanesh
3 citations
COVID-19 diagnosis using AI
1.21
article

AI-Powered Disaster Data Calculation & SMS Alerting: An Overview

Anju Asokan, R Sandhiya, B Bhuvanesh
article en
3 citations

Abstract

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.

Sri Eshwar College of Engineering
Climate action
Openalex Percentile: Top 18%
COVID-19 diagnosis using AI
1.21
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AI-Powered Disaster Data Calculation & SMS Alerting: An Overview — Anju Asokan, R Sandhiya, et al. · (2024) | TGRS Research Map | TGRS