Efficient and Low-Cost Monitoring of Sea Ice Thickness Using Shipborne Vibration Sensors and Machine Learning: A Novel Approach-Reference-Cited by-同舟云学术

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Efficient and Low-Cost Monitoring of Sea Ice Thickness Using Shipborne Vibration Sensors and Machine Learning: A Novel Approach

Published:2023-07-11 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 13th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER)
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Author:

Zhang Han¹,Quan Xiyu²,Yang Le³,Li Yuefang¹,Han Leng¹,Deng Dongli¹,Li Weishi²,Lv Xiaoyong²,Zhao Yuliang²

Affiliation:

1. Detachment 60, PLA Unit 92493,Huludao,China,125000

2. School of Control Engineering, Northeastern University at Qinhuangdao,Hebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology,Qinhuangdao,China,066004

3. Experimentalist with Northeastern University at Qinhuangdao,Qinhuangdao,China,066000

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10256259/10256261/10256501.pdf?arnumber=10256501

Reference20 articles.

1. A remote monitoring system of temperature and humidity based on OneNet cloud service platform

2. Using of measuring system MPU6050 for the determination of the angular velocities and linear accelerations;fedorov;Autom Software Eng,2015

3. Vibration displacement measurement based on three axes accelerometer

4. Shipborne Vessel Monitoring System using Automatic Identification System Packet Encapsulation and LoRa Packet Propagation

5. A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data

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