Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385193128> ?p ?o ?g. }
Showing items 1 to 70 of
70
with 100 items per page.
- W4385193128 abstract "A future networking design called software-defined networking combines network programmability with centralized administration (SDN). Network administration is currently handled by SDN, which, at the regulator, which acts as the cable network processor and divides the data plane into a control plane and a data aircraft. Recent breakthroughs in artificial intelligence (Al) have shown a stronger inclination for the science community to benefit from their ability to give learning capabilities and enhance Indicator. The author of this research provides a comprehensive analysis of initiatives underway to incorporate Al with SDN. The study concluded that the three primary Al thread where scientific research was centered were computer science, conceptual, and fuzzy reasoning systems. The authors of this paper explore the several fields in which these approaches may be used, their potential future applications, and the innovations made possible by the integration of AI-based methods into the SDN paradigm. By choosing the right SDN controller, any large organization may lower network complexity, implementation expenses, and maintenance costs. The focus of this article is software defined networking's benefits and downsides (SDN). Following is a basic explanation of artificial intelligence and a list of some of its most significant applications in SDN." @default.
- W4385193128 created "2023-07-25" @default.
- W4385193128 creator A5005317548 @default.
- W4385193128 creator A5045975579 @default.
- W4385193128 creator A5047869471 @default.
- W4385193128 creator A5059539618 @default.
- W4385193128 creator A5064409590 @default.
- W4385193128 creator A5089437418 @default.
- W4385193128 date "2023-05-12" @default.
- W4385193128 modified "2023-10-16" @default.
- W4385193128 title "Integration of Artificial Intelligence in Software Defined Networking Technology through Developing Machine Learning Algorithms" @default.
- W4385193128 cites W2004185954 @default.
- W4385193128 cites W2057282890 @default.
- W4385193128 cites W2067551786 @default.
- W4385193128 cites W2123585936 @default.
- W4385193128 cites W2133218851 @default.
- W4385193128 cites W2155461860 @default.
- W4385193128 cites W2419276856 @default.
- W4385193128 cites W2964248614 @default.
- W4385193128 cites W3144299160 @default.
- W4385193128 cites W4285274883 @default.
- W4385193128 doi "https://doi.org/10.1109/icacite57410.2023.10182618" @default.
- W4385193128 hasPublicationYear "2023" @default.
- W4385193128 type Work @default.
- W4385193128 citedByCount "0" @default.
- W4385193128 crossrefType "proceedings-article" @default.
- W4385193128 hasAuthorship W4385193128A5005317548 @default.
- W4385193128 hasAuthorship W4385193128A5045975579 @default.
- W4385193128 hasAuthorship W4385193128A5047869471 @default.
- W4385193128 hasAuthorship W4385193128A5059539618 @default.
- W4385193128 hasAuthorship W4385193128A5064409590 @default.
- W4385193128 hasAuthorship W4385193128A5089437418 @default.
- W4385193128 hasConcept C10597312 @default.
- W4385193128 hasConcept C111919701 @default.
- W4385193128 hasConcept C119857082 @default.
- W4385193128 hasConcept C120314980 @default.
- W4385193128 hasConcept C154945302 @default.
- W4385193128 hasConcept C158379750 @default.
- W4385193128 hasConcept C2777904410 @default.
- W4385193128 hasConcept C31258907 @default.
- W4385193128 hasConcept C41008148 @default.
- W4385193128 hasConcept C50644808 @default.
- W4385193128 hasConcept C77270119 @default.
- W4385193128 hasConceptScore W4385193128C10597312 @default.
- W4385193128 hasConceptScore W4385193128C111919701 @default.
- W4385193128 hasConceptScore W4385193128C119857082 @default.
- W4385193128 hasConceptScore W4385193128C120314980 @default.
- W4385193128 hasConceptScore W4385193128C154945302 @default.
- W4385193128 hasConceptScore W4385193128C158379750 @default.
- W4385193128 hasConceptScore W4385193128C2777904410 @default.
- W4385193128 hasConceptScore W4385193128C31258907 @default.
- W4385193128 hasConceptScore W4385193128C41008148 @default.
- W4385193128 hasConceptScore W4385193128C50644808 @default.
- W4385193128 hasConceptScore W4385193128C77270119 @default.
- W4385193128 hasLocation W43851931281 @default.
- W4385193128 hasOpenAccess W4385193128 @default.
- W4385193128 hasPrimaryLocation W43851931281 @default.
- W4385193128 hasRelatedWork W2094295532 @default.
- W4385193128 hasRelatedWork W2898665235 @default.
- W4385193128 hasRelatedWork W2927834566 @default.
- W4385193128 hasRelatedWork W3013639496 @default.
- W4385193128 hasRelatedWork W3029040712 @default.
- W4385193128 hasRelatedWork W3107849049 @default.
- W4385193128 hasRelatedWork W4245560753 @default.
- W4385193128 hasRelatedWork W4311926116 @default.
- W4385193128 hasRelatedWork W4313054100 @default.
- W4385193128 hasRelatedWork W1629725936 @default.
- W4385193128 isParatext "false" @default.
- W4385193128 isRetracted "false" @default.
- W4385193128 workType "article" @default.