| _version_ | 1866901381347016704 |
|---|---|
| author | Matyakubov, Davlatbek Davronbekovich Shonazarov, Shonazar Uktam o'g'li |
| author_facet | Matyakubov, Davlatbek Davronbekovich Shonazarov, Shonazar Uktam o'g'li |
| contents | <p><em><span lang="EN-US">The rapid development of Artificial Intelligence (AI) technologies is significantly impacting modern telecommunication systems. In particular, optical communication systems represent one of the most advanced technologies for transmitting high-speed and high-volume data. This article analyzes the application, potential capabilities, and practical results of integrating artificial </span></em><em><span lang="EN-US">intelligence into optical communication systems.</span></em></p> <p><em><span lang="EN-US">The study</span></em><em><span lang="EN-US"> first examines the key components of optical communication systems, their technological advantages, and areas of application. It then introduces the fundamental AI technologies such as machine learning, deep learning, and neural networks. These technologies can be effectively utilized in critical processes within optical networks, including signal quality monitoring, network traffic prediction, automatic configuration, fault detection, and routing.</span></em></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15485169 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | THE INTEGRATION OF ARTIFICIAL INTELLIGENCE INTO OPTICAL COMMUNICATION SYSTEMS Matyakubov, Davlatbek Davronbekovich Shonazarov, Shonazar Uktam o'g'li <p><em><span lang="EN-US">The rapid development of Artificial Intelligence (AI) technologies is significantly impacting modern telecommunication systems. In particular, optical communication systems represent one of the most advanced technologies for transmitting high-speed and high-volume data. This article analyzes the application, potential capabilities, and practical results of integrating artificial </span></em><em><span lang="EN-US">intelligence into optical communication systems.</span></em></p> <p><em><span lang="EN-US">The study</span></em><em><span lang="EN-US"> first examines the key components of optical communication systems, their technological advantages, and areas of application. It then introduces the fundamental AI technologies such as machine learning, deep learning, and neural networks. These technologies can be effectively utilized in critical processes within optical networks, including signal quality monitoring, network traffic prediction, automatic configuration, fault detection, and routing.</span></em></p> |
| title | THE INTEGRATION OF ARTIFICIAL INTELLIGENCE INTO OPTICAL COMMUNICATION SYSTEMS |
| url | https://doi.org/10.5281/zenodo.15485169 |