This article presents a state-of-the-art review of the applications of Artificial Intelligence (AI),
Machine Learning (ML), and Deep Learning (DL) in building and construction industry 4.0 in …

Abstract Machine learning models are increasingly used in many engineering fields thanks
to the widespread digital data, growing computing power, and advanced algorithms. The …

The development of structural health monitoring (SHM) techniques is of great importance to
improve the structural efficiency and safety. With advantages of long propagation distances …

The application of fiber-reinforced polymer (FRP) composites is continuously increasing due
to their superior mechanical properties and the associated weight advantage. However, they …

Apples in modern orchards with vertical-fruiting-wall trees are comparatively easier to
harvest and specifically suitable for robotic picking, where accurate apple detection and …

The mobility applications of laminated composites are constantly expanding due to their
improved mechanical properties and superior strength-to-weight ratio. Such advancements …

Recently researchers are exploring the data-driven machine learning techniques to identify
damage from Lamb wave response. This is primarily because the physics based model are …

The Resin Transfer Moulding process receives great attention from both academia and
industry, owing to its superior manufacturing rate and product quality. Particularly, the …

This paper presents a vision-based crack detection approach for concrete bridge decks
using an integrated one-dimensional convolutional neural network (1D-CNN) and long short …

Composite materials have been widely used in many industries due to their excellent
mechanical properties. It is difficult to analyze the integrity and durability of composite …