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dc.contributor.author |
Zediri, Akila/ Rehab ,Nardjes / Encadré par Gouder, Soraya |
|
dc.date.accessioned |
2025-07-14T08:59:56Z |
|
dc.date.available |
2025-07-14T08:59:56Z |
|
dc.date.issued |
2025-06-10 |
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dc.identifier.uri |
http//localhost:8080/jspui/handle/123456789/12893 |
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dc.description.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. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
UNIVERSITE DE ECHAHID CHEIKH LARBI TEBESSI |
en_US |
dc.title |
AI Applications in Characterizing and Enhancing Optical Fiber Performance |
en_US |
dc.type |
Thesis |
en_US |
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