The most pressing issue in network security is the establishment of an approach that is
capable of detecting violations in computer systems and networks. There have been several …

In this paper, a local linear radial basis function (LLRBF) neural network that uses a skewed
Gaussian activation function, called LLRBF-SG, is applied to the problem of ore grade …

Arguably the most recurring issue concerning network security is building an approach that
is capable of detecting intrusions into network systems. This issue has been addressed in …

A significant negative impact of spam e-mail is not limited only to the serious waste of
resources, time, and efforts, but also increases communications overload and cybercrime …

Featured Application Authors are encouraged to provide a concise description of the specific
application or a potential application of the work. This section is not mandatory. Abstract …

Rapid advances in information and communication technologies have led to the emergence
of cyber-physical systems (CPSs). Wireless sensor networks (WSNs) play a pivotal role in …

Ore blending is an essential part of daily work in the concentrator. Qualified ore dressing
products can make the ore dressing more smoothly. The existing ore blending modeling …

A genetic algorithm (GA) is widely used to solve many optimization problems. It does not
promise accurate results but provides an acceptable ones in various practical applications …

The electronic mailing system has in recent years become a timely and convenient way for
the exchange of multimedia messages across the cyberspace and computer networks in the …

Intrusion detection is one of the most significant concerns in network safety. Improvements
have been proposed from various perspectives. One such proposal is improving the …