Ezechi, C.; Akinsolu, M.O.; Sakpere, W.; Sangodoyin, A.O.; Uyoata, U.E.; Owusu-Nyarko, I.; Akinsolu, F.T.
A Hybrid Framework for the Sensitivity Analysis of Software-Defined Networking Performance Metrics Using Design of Experiments and Machine Learning Techniques. Information 2025, 16, 783.
https://doi.org/10.3390/info16090783
AMA Style
Ezechi C, Akinsolu MO, Sakpere W, Sangodoyin AO, Uyoata UE, Owusu-Nyarko I, Akinsolu FT.
A Hybrid Framework for the Sensitivity Analysis of Software-Defined Networking Performance Metrics Using Design of Experiments and Machine Learning Techniques. Information. 2025; 16(9):783.
https://doi.org/10.3390/info16090783
Chicago/Turabian Style
Ezechi, Chekwube, Mobayode O. Akinsolu, Wilson Sakpere, Abimbola O. Sangodoyin, Uyoata E. Uyoata, Isaac Owusu-Nyarko, and Folahanmi T. Akinsolu.
2025. "A Hybrid Framework for the Sensitivity Analysis of Software-Defined Networking Performance Metrics Using Design of Experiments and Machine Learning Techniques" Information 16, no. 9: 783.
https://doi.org/10.3390/info16090783
APA Style
Ezechi, C., Akinsolu, M. O., Sakpere, W., Sangodoyin, A. O., Uyoata, U. E., Owusu-Nyarko, I., & Akinsolu, F. T.
(2025). A Hybrid Framework for the Sensitivity Analysis of Software-Defined Networking Performance Metrics Using Design of Experiments and Machine Learning Techniques. Information, 16(9), 783.
https://doi.org/10.3390/info16090783