In recent years, the identification of water leak detection methods has entered a wide range fields. Pipeline failures in distribution networks lead to loss considerable amount high-quality water. Different monitoring are often used identify failing infrastructure, which is subsequently maintained. Increased pressures on fast-expanding supply network needs development better technologies, parti...

This study developed an integrated global-local approach for locating damage on building structures. A damage detection approach with a novel embedded frequency response function damage index (NEFDI) was proposed and embedded in the Imote2.NET-based wireless structural health monitoring (SHM) system to locate global damage. Local damage is then identified using an electromechanical impedance- (...

This paper investigates the suitability of linear genetic programming (LGP) technique to model efficient intrusion detection systems, while comparing its performance with artificial neural networks and support vector machines. Due to increasing incidents of cyber attacks and, building effective intrusion detection systems (IDSs) are essential for protecting information systems security, and yet...

Abstract Recent network intrusion detection systems have employed machine learning and deep algorithms to defend against dynamically evolving attacks. While most previous studies focused on detecting attacks which can be determined based a single time instant, few paid attention subsequence outliers, require inspecting consecutive points in for detection. To address this issue, paper applies ti...