Machine Learning Aided Signal Detection in Underwater Wireless Optical Communication for IoUT applications-Reference-Cited by-同舟云学术

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Machine Learning Aided Signal Detection in Underwater Wireless Optical Communication for IoUT applications

Published:2024-06-28 Issue: Volume:49 Page:774-778
ISSN:
Container-title:2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC)
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Author:

Kamatchi Kavitha¹,V Angayarkanni²,Paramanandham Nirmala³,Yogarajan G⁴,Krishnan Prabu⁵

Affiliation:

1. Velammal College of Engineering and Technology,Department of ECE,Tamilnadu,India

2. SRM Institute of Science and Technology,Department of Computing Technologies,Tamilnadu,India

3. School of Electronics Engineering, Vellore Institue of Technology,Tamilnadu,India

4. Mepco Schlenk Engineering College,Department of Information Technology,Tamilnadu,India

5. National Institute of Technology Karnataka,Department of ECE,Surathkal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649401/10649402/10649510.pdf?arnumber=10649510

Reference11 articles.

1. Underwater Wireless Optical Communication Channel Characterization Using Machine Learning Techniques

2. Orbital angular momentum underwater wireless optical communication system based on convolutional neural network

3. Experimental demonstration of an OFDM-UWOC system using a direct decoding FC-DNN-based receiver

4. Deep Learning Aided Channel Estimation and Signal Detection for Underwater Optical Communication[J];Shi;Chinese Journal of Lasers,2022

5. Underwater Acoustic Communication Channel Modeling using Deep Learning

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