Implementation of Machine Learning techniques and Artificial Intelligence for the intrusion detection in communications networks

The aim of this study was to evaluate retrospectively the sensitivity of three different serological tests used in real clinical practice for the screening and diagnosis of

The Dwellers in the Garden of Allah 109... The Dwellers in the Garden of Allah

The recent exponential growing of machine learning techniques (data-mining, deep-learning, manifold learning, linear and nonlinear regression techniques ... to cite but a few) makes

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

 The expansionary monetary policy measures have had a negative impact on net interest margins both via the reduction in interest rates and –less powerfully- the flattening of the

The result in this study demonstrated that each of the interferometric techniques has its own advantages and limitations in the context of high accuracy, high measurement

In this work, such dichotomy is overcome by using the explainable boosting machine algorithm, which obtains accuracy levels in both classification and prediction of the welded

As mentioned above (see also Figure 1), our optical detection and classification process consists of two separate stages that rely on convolutional neural networks: (1) detection