Phishing is a fraudulent practice and a form of cyber-attack designed and executed with the
sole purpose of gathering sensitive information by masquerading the genuine websites …

Abstract The use of Echo State Networks (ESNs) for the prediction of the Remaining Useful
Life (RUL) of industrial components, ie the time left before the equipment will stop fulfilling its …

Imbalanced data problem is widely present in network intrusion detection, spam filtering,
biomedical engineering, finance, science, being a challenge in many real-life data-intensive …

Traditional approaches tend to cause classier bias in the imbalanced data set, resulting in
poor classification performance for minority classes. In particular, there are many …

With the rapid growth over the past few decades, people are consuming more and more
electrical energies. In order to solve the contradiction between supply and demand to …

Through analysis of the carbon emissions transfer network formed by the exchange of
intermediate products among industries, we can promote the realization of national carbon …

To ensure dominance over a multi-domain battlespace, energy and power utilization must
be accurately characterized for the dissimilar operational conditions. Using …

The ongoing rapid growth of electricity over the past few decades greatly promotes the
necessity of accurate electricity load forecasting. However, despite a great number of …

Computer simulation, which has been proved to be an effective approach to problem
solving, is nowadays widely used in modern science. However, it requires a lot of computing …

General vector machine (GVM) is one of supervised learning machine, which is based on
three-layer neural network. It is capable of constructing a learning model with limited amount …