Design of Anomaly Detection and Prediction Algorithm for Real-time Personnel Positioning System Based on Machine Learning-Reference-Cited by-同舟云学术

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Design of Anomaly Detection and Prediction Algorithm for Real-time Personnel Positioning System Based on Machine Learning

Published:2023-12-29 Issue: Volume:57 Page:83-88
ISSN:
Container-title:2023 International Conference on Internet of Things, Robotics and Distributed Computing (ICIRDC)
language:
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Author:

He Feng¹,Wu Jiajun²

Affiliation:

1. Yunnan University of Finance and Economics,School of Logistics and Management Engineering,Kunming,China,650221

2. Special Duty Brigade, Kunming Fire and Rescue Detachment,Kunming,China,650100

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10510672/10510673/10510955.pdf?arnumber=10510955

Reference13 articles.

1. Coal mine personnel positioning algorithm based on improved adaptive unscented Kalman filter with wireless channel fading and unknown noise statistics

2. A combined algorithm for tunnel personnel localization based on error areal division

3. Personnel location oriented global mine tunnel network modeling[J];Li;Journal of Tsinghua University,2017

4. Integrated Management System for Coal Mine Locomotive Transportation

5. Research on the positioning and retest mechanism of underground precise personnel positioning system [J];Tang;Industrial and Mining Automation,2022

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1. Design of Data Collect System for Cloud Computing of Rivers Quality and Level;2024 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA);2024-05-23

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