The pursuit to spot abnormal behaviors in and out of a network system is what led to a
system known as intrusion detection systems for soft computing besides many researchers …

Effective network intrusion detection techniques are required to thwart evolving
cybersecurity threats. Historically, traditional enterprise networks have been researched …

Bioisosterism has unique relevance in the field of pharmaceutical sciences and is conducted
to curtail side effects or to alter the biological activity of a lead molecule. In the biomedical …

Intruders attack both commercial and corporate distributed systems successfully. The
problem of intruders has become vital. The most effective resistance today is the use of …

Although the traditional intrusion detection problem has been well studied with the release
of the KDD'99 and NSL-KDD datasets, recent intrusion detection has expanded to include …

The advancement of sensing technology in ambient assisted living nowadays has become a
major topic. Plentiful of intelligent human applications have become prevalent, particularly in …

Binarization strategy is broadly applied in solving various multi-class classification problems.
However, the classifier model learning complexity tends to increase when expanding the …