Machine Learning Applied to Optical Communication Systems
As the global demand for high-speed and high-capacity communication continues to surge, driven by cloud computing, artificial intelligence, 5G, virtual reality, and the Internet of Things (IoT), optical communication systems have emerged as the backbone of modern digital infrastructure [...]
Saved in:
| Main Authors: | Zhaopeng Xu, Jinlong Wei |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Photonics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2304-6732/12/5/458 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Machine Learning for Blockchain and IoT Systems in Smart City
by: Cheng-Chi Lee, et al.
Published: (2025-02-01) -
RETRACTED: Dong et al. Transient Response Characteristics Analysis of High-Power Piezoelectric Transducers. <i>Micromachines</i> 2022, <i>13</i>, 1638
by: Zhaopeng Dong, et al.
Published: (2024-11-01) -
Unlocking Deeper Insights into Medical Images with Machine Learning
by: Xiangxue Wang, et al.
Published: (2025-04-01) -
Fatigue Strength of Machines and Systems
by: Przemysław Strzelecki, et al.
Published: (2025-04-01) -
Nanomaterials Applied to Fuel Cells and Catalysts
by: András Tompos
Published: (2025-02-01)