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Fig. 7. Simple two-layers CNN model Fig. 8. Combination of two-layers CNN and single-layer RNN model. Architecture of the best CNN-LSTM network applied to NTC prediction. The preparation of data was critical to achieve the final results in [2][4], this preparation consisted, in both cases, in transforming a sequence of information extracted from network packets into 2D-matrix-like structures that could be processed by a CNN layer. In Fig. 9 the data arrangement for [2] is presented, where specific parts of the packets header are arranged in sequence, resulting in a 2D matrix structure. Similarly, in Fig 10 is presented the data preparation for [4], which is more complex because in this case we do not make a single prediction, but a whole set of predictions for the two-time-ahead forecasting of the 7 QoE errors that are examined. Doctoral Thesis: Novel applications of Machine Learning to NTAP - 45PDF Image | Novel applications of Machine Learning to Network Traffic Analysis
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