Mass timber (MT), a group of large engineered structural wooden panels such as cross-
laminated timber (CLT), glue-laminated timber (Glulam), laminated veneer lumber (LVL) …

The growing interest in timber construction and using more wood for civil engineering
applications has given highlighted importance of developing non-destructive evaluation …

This paper aims to develop a lightweight convolutional neural network, WearNet, to realise
automatic scratch detection for components in contact sliding such as those in metal forming …

Abstract In the “Industry 4.0” era, autonomous and self-adaptive industrial machining attracts
significant attention in professional manufacturing. This trend originates from the rising …

Real-time crash prediction is a heavily studied area given their potential applications in
proactive traffic safety management in which a plethora of statistical and machine learning …

An effective strategy to predict the remaining useful life (RUL) of a cutting tool could
maximise tool utilisation, optimise machining cost, and improve machining quality. In this …

To improve coastal adaptation and management, it is critical to better understand and
predict the characteristics of sea levels. Here, we explore the capabilities of artificial …

Machinery will fail due to complex and tough working conditions. It is necessary to apply
reliable monitoring technology to ensure their safe operation. Condition-based maintenance …

Abstract Artificial Intelligence (AI) and Machine learning (ML) represents an important
evolution in computer science and data processing systems which can be used in order to …

During machining processes, a large amount of heat is generated due to plastic
deformation, in a very small area of the cutting tool. This high temperature strongly …