Composite materials are heterogeneous in nature and suffer from complex non-linear
modes of failure, such as delamination, matrix crack, fiber-breakage, and voids, among …

This paper develops a novel multi-classifier information fusion approach that integrates the
probabilistic support vector machine (SVM) and the improved Dempster-Shafer (DS) …

Guided waves based structural health monitoring systems have been proposed to ensure
reliability and structural integrity of pipelines. These systems are designed with permanently …

Alum sludge is a byproduct of water treatment plants, and its use as a soil stabilizer has
gained increasing attention due to its economic and environmental benefits. Its application …

Support vector machine (SVM) has been established as a promising tool for classification
and regression in many research fields recently. In the current research work, SVM is …

The use of composite materials in industry applications is constantly growing. However, fault
detection and prediction on these materials is not as simple as in traditional materials. Thus …

Even small damages in engineered systems can endanger the users or lead to significant
economic costs. The detection of damage existence is only the first task within the Damage …

Floating Production Storage and Offloading (FPSO) is essential offshore equipment for
developing offshore oil and gas. Due to the complex sea conditions, FPSOs will be …

Detection of damages in fibre reinforced plastic (FRP) composite structures is important from
the safety and serviceability point of view. Usually, damage is realized as a local reduction of …

Illegal insider trading identification presents a challenging task that attracts great interest
from researchers due to the serious harm of insider trading activities to the investors' …