# Design Of Rubble Analyzer Probe Using ML For Earthquake

arXiv: https://arxiv.org/abs/2311.02087 · HTML: https://mlsanity.com/paper/2311.02087/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 31 references that are in the map.
- First posted on arXiv 24 Oct 2023.

## Builds on (most cited first, 1 of 1)

- [Learning by Turning: Neural Architecture Aware Optimisation](https://mlsanity.com/paper/2102.07227/) (2021)

## Built on by (most cited first, 1 of 1)

- [Soft Robotics for Search and Rescue: Advancements, Challenges, and Future Directions](https://mlsanity.com/paper/2502.12373/) (2025)

## Abstract (arXiv)

The earthquake rubble analyzer uses machine learning to detect human presence via ambient sounds, achieving 97.45% accuracy. It also provides real-time environmental data, aiding in assessing survival prospects for trapped individuals, crucial for post-earthquake rescue efforts