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AI-assisted traffic matrix prediction using GA-enabled deep ensemble learning for hybrid SDN.

, , , , and . Comput. Commun., (April 2023)

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Towards Efficient and Scalable Machine Learning-Based QoS Traffic Classification in Software-Defined Network., , , , and . MobiWIS, volume 11673 of Lecture Notes in Computer Science, page 217-229. Springer, (2019)Masking Algorithm for Multiple Crosstalk Attack Source Identification Under Greedy Sparse Monitoring., , and . ISPEC, volume 10060 of Lecture Notes in Computer Science, page 137-150. (2016)AI-Assisted Framework for Green-Routing and Load Balancing in Hybrid Software-Defined Networking: Proposal, Challenges and Future Perspective., , , , and . IEEE Access, (2020)Simulation Study of a Heuristic Near-Maximum Ant-based Dynamic Routing.. Int. Arab J. Inf. Technol., 5 (3): 230-233 (2008)Motivation of DDoS Attack-Aware in Software Defined Networking Controller Placement., , , , , , and . ICCA, page 36-42. IEEE, (2017)Virtual Metrology in Semiconductor Fabrication Foundry Using Deep Learning Neural Networks., , and . IEEE Access, (2022)A Realizable Overlay Virtual Metrology System in Semiconductor Manufacturing: Proposal, Challenges and Future Perspective., , , , , , , , and . IEEE Access, (2021)Cost-location aware heuristic algorithm for hybrid SDN deployment., , and . Ann. Math. Artif. Intell., 89 (8-9): 875-897 (2021)AALLA: Attack-Aware Logical Link Assignment Cost-Minimization Model for Protecting Software-Defined Networks against DDoS Attacks., , , , , , and . Sensors, 23 (21): 8922 (November 2023)Machine Learning as a Means to Adapt Requirement Changes for SDN Deployment Process in SDN Migration., , , , , and . IWANN (2), volume 11507 of Lecture Notes in Computer Science, page 629-639. Springer, (2019)