Novel applications of Machine Learning to Network Traffic Analysis and Prediction

In the case of the linear-threshold neural network model, signal-to-noise analysis has been recently adapted 关1,2兴 to spatially organized networks and has shown that the

The regularised loss function is used to train a deep neural network model with an ordinal scheme in the output layer1. The results obtained are statistically analysed and show that

The mode of overseas warehouse is to send the goods to the foreign warehouse in batches to realize local sales and local distribution. Network economy virtualizes

• Network Slicing: A management mechanism that Network Slice Provider can use to allocate dedicated infrastructure resources and service functions to the user of the Network

Two methods have been presented and empirically validated to extract a deterministic UFSA from a trained recurrent neural network (RNN), that are applicable respectively to the cases

Government policy varies between nations and this guidance sets out the need for balanced decision-making about ways of working, and the ongoing safety considerations

No obstante, como esta enfermedad afecta a cada persona de manera diferente, no todas las opciones de cuidado y tratamiento pueden ser apropiadas para cada individuo.. La forma

We study the emerging collective dynamics of a neural network model that emits and recognizes neural signatures with different network topolo- gies in order to assess the capacity of