Repository logo
 

AI Applications in Characterizing and Enhancing Optical Fiber Performance

No Thumbnail Available

Date

2025-06-10

Journal Title

Journal ISSN

Volume Title

Publisher

Université Echahid Cheikh Larbi Tebessi - Tebessaa

Abstract

Optical fibers are among the most important modern technologies in the field of communications, enabling high-speed and efficient data transmission over long distances with low signal loss and high immunity to electromagnetic interference. These fibers operate based on the principle of total internal reflection, transmitting light through a central core surrounded by a cladding with a lower refractive index. In recent years, AI has played an increasingly significant role in enhancing the performance of optical fibers. Techniques such as machine learning and ANNs networks have contributed to data analysis, fault detection, performance prediction under various conditions, and the optimization of fiber design through accurate simulations and intelligent forecasting of optical properties. The integration of AI with optical fiber technologies represents a major step toward smarter, more flexible, and more efficient communication systems.

Description

Keywords

Photonic Crystal Fibers Artificial Intelligence (AI) Machine Learning Deep Learning Deep Neural Network

Citation