Comparison of all performance metrics for proposed GM-FVRL versus existing IPro [1], MACCA2-RF&RF [2], and novel hybrid DL model based on CNN [10].

<p>Comparison of all performance metrics for proposed GM-FVRL versus existing IPro [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0308052#pone.0308052.ref001" target="_blank">1</a>], MACCA2-RF&RF [<a href="http://www.plosone.o...

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Bibliographic Details
Main Author:	Rajkumar Kulandaivel (19775523) (author)
Other Authors:	Manikandan Ramachandran (19775526) (author), Sathishkumar Veerappampalayam Easwaramoorthy (19775529) (author), Jaehyuk Cho (19469943) (author)
Published:	2024
Subjects:	Biotechnology Infectious Diseases Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified based ml model enables ml techniques connected devices modelled automate network traffic sdn traffic dataset network traffic resources ensuring better precision distinct network flow high classification accuracy sdn </ p network traffic better precision conventional techniques assign resources reduce accuracy improve accuracy sdn solutions scheme using results show minimum latency minimize latency massive stipulation manuscript proposes iot devices improves latency gauss markov fvrl ). evaluated utilizing defined networking balanced radial
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Comparison of all performance metrics for proposed GM-FVRL versus existing IPro [1], MACCA2-RF&RF [2], and novel hybrid DL model based on CNN [10].

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