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AI Applications in Characterizing and Enhancing Optical Fiber Performance

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dc.contributor.author Zediri ,Akila /Rehab ,Nardjes /Encadré par Gouder, Soraya
dc.date.accessioned 2025-07-23T02:28:30Z
dc.date.available 2025-07-23T02:28:30Z
dc.date.issued 2025-06-10
dc.identifier.uri http//localhost:8080/jspui/handle/123456789/12950
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 Université Echahid Cheikh Larbi Tebessi - Tebessaa en_US
dc.subject Photonic Crystal Fibers Artificial Intelligence (AI) Machine Learning Deep Learning Deep Neural Network en_US
dc.title AI Applications in Characterizing and Enhancing Optical Fiber Performance en_US
dc.type Thesis en_US


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