Design Of Rubble Analyzer Probe Using ML For Earthquake

Fuente: arXiv
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Bibliographic Details
Main Authors: Sebastian, Abhishek, Pragna, R, Vythianathan, K Vishal, Sai, Dasaraju Sohan, Al, U Shiva Sri Hari, Anirudh, R, Choudhary, Apurv
Format: Preprint
Published: 2023
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_version_ 1866913245703438336
author Sebastian, Abhishek
Pragna, R
Vythianathan, K Vishal
Sai, Dasaraju Sohan
Al, U Shiva Sri Hari
Anirudh, R
Choudhary, Apurv
author_facet Sebastian, Abhishek
Pragna, R
Vythianathan, K Vishal
Sai, Dasaraju Sohan
Al, U Shiva Sri Hari
Anirudh, R
Choudhary, Apurv
contents 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
format Preprint
id arxiv_https___arxiv_org_abs_2311_02087
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Design Of Rubble Analyzer Probe Using ML For Earthquake
Sebastian, Abhishek
Pragna, R
Vythianathan, K Vishal
Sai, Dasaraju Sohan
Al, U Shiva Sri Hari
Anirudh, R
Choudhary, Apurv
Sound
Artificial Intelligence
Machine Learning
Audio and Speech Processing
Signal Processing
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
title Design Of Rubble Analyzer Probe Using ML For Earthquake
topic Sound
Artificial Intelligence
Machine Learning
Audio and Speech Processing
Signal Processing
url https://arxiv.org/abs/2311.02087