Supervised Machine Learning–Based Detection of Concrete Efflorescence

Intrusion Detection: Supervised Machine Learning

Due to the expansion of high-speed Internet access, the need for secure and reliable networks has become more critical. The sophistication of network attacks, as well as their severity, has also increased recently. As such, more and more organizations are becoming vulnerable to attack. The aim of this research is to classify network attacks using neural networks (NN), which leads to a higher de...

Chemical concrete machine

The chemical concrete machine is a graph rewriting system which uses only local moves (rewrites), seen as chemical reactions involving molecules which are graphs made up by 4 trivalent nodes. It is Turing complete, therefore it might be used as a model of computation in algorithmic chemistry.

Polymorphic Worms Detection Using A Supervised Machine Learning Technique

Polymorphic worms are considered as the most dangerous threats to the Internet security, and the danger lies in changing their payloads in every infection attempt to avoid the security systems. We have designed a novel doublehoneynet system, which is able to detect new worms that have not been seen before. To generate signatures for polymorphic worms we have two steps. The first step is the pol...

An Empirical Study on Chinese Microblog Stance Detection Using Supervised and Semi-supervised Machine Learning Methods

Nowadays, more and more people are willing to express their opinions and attitudes in the microblog platform. Stance detection refers to the task that judging whether the author of the text is in favor of or against the given target. Most of the existing literature are for the debates or online conversations, which have adequate context for inferring the authors’ stances. However, for detecting...

Damage Detection of Carbon Fiber-reinforced Concrete Under Bending Test