mlsanityData to 7 Oct 2026

Design Of Rubble Analyzer Probe Using ML For Earthquake

arXiv 2311.02087 ↗First posted 24 Oct 2023cs.SD cs.AI cs.LGcited by 1

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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

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 1 of its 31 references that are in the map. First posted on arXiv 24 Oct 2023.

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1 of 31 references.

References · 1

  1. 2021Learning by Turning: Neural Architecture Aware Optimisationcited by 23

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Citing papers per year: 2025: 1.

1 paper.

  1. 2025Soft Robotics for Search and Rescue: Advancements, Challenges, and Future Directionscited by 0