Digital twin (DT) and artificial intelligence (AI) technologies have grown rapidly in recent
years and are considered by both academia and industry to be key enablers for Industry 4.0 …

Abstract The use of Machine Learning (ML) has rapidly spread across several fields of
applied sciences, having encountered many applications in Structural Dynamics and …

This work presents a digital twin framework for structural engineering. The digital twin is
conceptualised and mathematically idealised within the context of structural integrity, and …

The integration of blockchain and digital twins (DT) for better building-lifecycle data
management has recently received much attention from researchers in the field. In this …

Natural hazard-induced disasters have caused catastrophic damage and loss to buildings,
infrastructure, and the affected communities as a whole during the recent decades and their …

This paper focuses on designing a Digital Twin infrastructure that supports an agile-based
Artificial Intelligence Internet of Things (AIoT) system for intelligent fish farming in …

Digital twins seek to replicate a physical structure in a digital domain. For a digital twin to
have close correspondence to its physical twin, data are required. However, it is not always …

The digital twin concept has developed as a method for extracting value from data, and is
being developed as a new technique for the design and asset management of high-value …

Industry 4.0 targets the conversion of the traditional industries into intelligent ones through
technological revolution. This revolution is only possible through innovation, optimization …

Digital twins are required to process a large amount of data during operation, in order to
achieve specific tasks, over the lifetime of the physical twin that they relate to. One important …