Machine Learning Techniques Applied to Improve High-Speed Spectrum Management in Fiber Optic Communications-Reference-Cited by-同舟云学术

Machine Learning Techniques Applied to Improve High-Speed Spectrum Management in Fiber Optic Communications

Published:2023-12-28 Issue: Volume:13 Page:367-373
ISSN:
Container-title:2023 IEEE International Conference on Paradigm Shift in Information Technologies with Innovative Applications in Global Scenario (ICPSITIAGS)
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Author:

D Sudha¹,Sharma Khushboo²,Singla Abhishek³,Murali M J⁴,Dhabliya Dharmesh⁵,Das Neeraj⁶

Affiliation:

1. Jain (Deemed to be University),Department of Computer Science and Information Technology,Bangalore,Karnataka

2. Vivekananda Global University,Department of Electrical Engineering,Jaipur,India

3. Chitkara University Institute of Engineering and technology, Chitkara University,Centre of Interdisciplinary Research in Business and Technology,Punjab

4. Prince Shri Venkateshwara Padmavathy Engineering College,Department of Electrical and Electronics Engineering,Chennai

5. Vishwakarma Institute of Information Technology,Department of Information Technology,Pune,Maharashtra,India

6. Maharishi School of Engineering and Technology, Maharishi University of Information Technology,UP,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10527408/10527413/10527773.pdf?arnumber=10527773

Reference15 articles.

1. Advancements in DC Microgrids: Integrating Machine Learning and Communication Technologies for a Decentralized Future

2. Deep Learning for Optical Sensor Applications: A Review

3. High-speed photon correlation monitoring of amplified quantum noise by chaos using deep-learning balanced homodyne detection

4. A hybrid $${Q}_{L}$$ ANN model designed to improve the Quality of Transmission of optical communication network

5. Machine Learning for Self-Coherent Detection Short-Reach Optical Communications