Machine Learning-Based Channel Power Analysis inside Aircraft Cabin-Reference-Cited by-同舟云学术

Machine Learning-Based Channel Power Analysis inside Aircraft Cabin

Published:2023-02-24 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Intelligent Computing and Control (IC&C)
language:
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Author:

Ye Xijuan¹,Mao Kai¹,Ma Jian²,Song Lixin²,Liu Yuxin¹,Zhu Qiuming¹

Affiliation:

1. Ministry of Industry and Information Technology; Nanjing University of Aeronautics and Astronautics,The Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space,Nanjing,China

2. Aeronautical Key Laboratory of Aeronautical Science and Technology,Nanjing Mechanical and Electrical Hydraulic Engineering Research Center of Aviation Industry,Nanjing,China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Southeast University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10302822/10302823/10302999.pdf?arnumber=10302999

Reference14 articles.

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3. Prediction of range, power consumption and throughput for IEEE 802.11n in large conference rooms;heereman;Proc EuCAP'05,0

4. The spectrum sensing algorithm for cognitive network based on LLE and random forest;wang;Proc WiCOM'10,2014

5. Application Research of Text Classification Based on Random Forest Algorithm

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