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February 27, 2026International Journal of Web Engineering and Technology

Network Traffic Classification and QoS Optimisation Method based on Deep Learning

Yishu Liu Xiaowen Lv

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Key Points

The central aim is to develop a method for classifying network traffic and optimizing quality of service using deep learning techniques.
Utilization of deep learning models for network traffic classification.
Application of algorithms for quality of service optimization.
Analysis of network data to evaluate performance improvements.
Improved accuracy in network traffic classification using deep learning methods.
Enhanced quality of service metrics observed post-optimization.
Demonstrated efficiency gains in network management processes.

Implication

Demonstrates a new method for classifying network traffic and optimizing quality of service, suggesting improvements for network management.

Abstract

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Cite This Study

Liu et al. (2026) studied this question.

synapsesocial.com/papers/69a3d7dfec16d51705d2e4d0 https://doi.org/10.1504/ijwet.2027.10076621

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