PDF | In this paper we explore the interest of computational intelligence tools in the management of heterogeneous communication networks, specifically.
We show two different applications based on neural and neurofuzzy systems for Quality of Service (QoS) management in next generation networks for V2oIP services ...
Two different applications based on neural and neurofuzzy systems for Quality of Service (QoS) management in next generation networks for V2oIP services are ...
Abstract. In this paper we explore the interest of computational intelligence tools in the management of heterogeneous communication networks,.
Our method allows the construction of a quality manager which computes adequate action quality levels, so as to meet QoS requirements for a given platform.
The hybrid CNN-LSTM model excels at QoS management, identifying anomalies in key metrics with few false detections. This method captures intricate network data.
This is an essential task to cope with various multimedia services QoS settings. In this paper, we present a machine learning scheme based on Neural Network for ...
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This study tests Deep Learning (DL), specifically CNN, LSTM, and a hybrid CNN-LSTM model, to identify abnormalities using QoS measurements.
Aug 5, 2024 · Machine learning algorithms and neural networks facilitate proactive network management, reducing latency and preventing congestion. This ...
In this paper, a proportional-integral-derivative (PID) controller integrated with a neural network (NN) is proposed to ensure quality of service (QoS) ...