Utilizing Smartwatches and Deep Learning Models for Enhanced Avalanche Victim Identification, Localization, and Efficient Recovery Strategies: An In-depth Study-Reference-Cited by-同舟云学术

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Utilizing Smartwatches and Deep Learning Models for Enhanced Avalanche Victim Identification, Localization, and Efficient Recovery Strategies: An In-depth Study

Published:2023-11-23 Issue: Volume: Page:1-5
ISSN:
Container-title:Proceedings of the 5th International Conference on Information Management & Machine Intelligence
language:
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Author:

Jha Khyati¹^ORCID,Pasbola Mansi¹^ORCID,Rai Hari Mohan²^ORCID,Amanzholova Saule²^ORCID

Affiliation:

1. Department of Computer Science, Dronacharya Group of Institutions, India

2. Faculty of Computer Technologies and Cyber Security, International University of Information Technology, Kazakhstan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3647444.3652483

Reference17 articles.

1. Material property and boundary condition effects on stresses in avalanche snow-packs

2. Detecting and locating cell phone signals from avalanche victims using unmanned aerial vehicles

3. Comparative Effectiveness of an Artificial Air Pocket Device to Delay Asphyxiation in Supine Individuals Critically Buried in Avalanche Debris

4. Detection and mapping of snow avalanche debris from Western Himalaya, India using remote sensing satellite images

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1. Next-Generation Diagnostics: The Impact of Synthetic Data Generation on the Detection of Breast Cancer from Ultrasound Imaging;Mathematics;2024-09-11

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