Archives of Computational Methods in Engineering, Год журнала: 2024, Номер 31(6), С. 3497 - 3513
Опубликована: Март 14, 2024
Язык: Английский
Archives of Computational Methods in Engineering, Год журнала: 2024, Номер 31(6), С. 3497 - 3513
Опубликована: Март 14, 2024
Язык: Английский
Archives of Computational Methods in Engineering, Год журнала: 2024, Номер unknown
Опубликована: Март 29, 2024
Язык: Английский
Процитировано
39Archives of Computational Methods in Engineering, Год журнала: 2025, Номер unknown
Опубликована: Март 18, 2025
Язык: Английский
Процитировано
2The Journal of Supercomputing, Год журнала: 2025, Номер 81(3)
Опубликована: Фев. 12, 2025
Язык: Английский
Процитировано
1Multimedia Tools and Applications, Год журнала: 2024, Номер unknown
Опубликована: Май 17, 2024
Язык: Английский
Процитировано
9Sensors, Год журнала: 2024, Номер 24(18), С. 6143 - 6143
Опубликована: Сен. 23, 2024
6G mobile network technology will set new standards to meet performance goals that are too ambitious for 5G networks satisfy. The limitations of have been apparent with the deployment more and networks, which certainly encourages investigation as answer future. This research includes fundamental privacy security issues related technology. Keeping an eye on real-time systems requires secure wireless sensor (WSNs). Denial service (DoS) attacks mark a significant vulnerability WSNs face, they can compromise system whole. proposes novel method in blockchain 6G-based management optimization using machine learning model. In this research, deployed is carried out user datagram transport protocol reinforcement projection regression. Then, completed artificial democratic cuckoo glowworm remora optimization. simulation results based various parameters regarding throughput, energy efficiency, packet delivery ratio, end–end delay, accuracy. order minimise traffic, it also offers capacity determine optimal node path selection data transmission. proposed technique obtained 97% 95% 96% accuracy, 50% 94% ratio.
Язык: Английский
Процитировано
8Multimedia Tools and Applications, Год журнала: 2024, Номер unknown
Опубликована: Апрель 10, 2024
Язык: Английский
Процитировано
7IEEE Access, Год журнала: 2025, Номер 13, С. 19728 - 19754
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
1Future Internet, Год журнала: 2024, Номер 16(10), С. 365 - 365
Опубликована: Окт. 7, 2024
The evolution of network technologies has significantly transformed global communication, information sharing, and connectivity. Traditional networks, relying on static configurations manual interventions, face substantial challenges such as complex management, inefficiency, susceptibility to human error. rise artificial intelligence (AI) begun address these issues by automating tasks like configuration, traffic optimization, security enhancements. Despite their potential, integrating AI models in engineering encounters practical obstacles including configurations, heterogeneous infrastructure, unstructured data, dynamic environments. Generative AI, particularly large language (LLMs), represents a promising advancement with capabilities extending natural processing translation, summarization, sentiment analysis. This paper aims provide comprehensive review exploring the transformative role LLMs modern engineering. In particular, it addresses gaps existing literature focusing LLM applications design planning, implementation, analytics, management. It also discusses current research efforts, challenges, future opportunities, aiming guide for networking professionals researchers. main goal is facilitate adoption networking, promoting more efficient, resilient, intelligent systems.
Язык: Английский
Процитировано
5Опубликована: Июнь 11, 2024
Язык: Английский
Процитировано
5Archives of Computational Methods in Engineering, Год журнала: 2024, Номер unknown
Опубликована: Апрель 30, 2024
Язык: Английский
Процитировано
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