Purpose This systematic literature review aims to investigate the application and integration
of Industry 4.0 (I4. 0) technologies in transportation infrastructure construction projects …

Digital twins (DTs) offer promising benefits to address several inherent problems in
underground construction, yet confusion surrounds the concept due to its context-specific …

Fit-out construction is crucial for the functionality of completed infrastructures. However, the
absence of a robust data collection system hinders efficient project management, causing …

The modern digital engineering design often requires costly repeated simulations for
different scenarios. The prediction capability of neural networks (NNs) makes them suitable …

This paper introduces the Temporal Graph Neural Network-based Simulator (TGNNS), a
novel physical-information-flow-constrained deep learning-based simulator for granular …

Accurately detecting the location and intensity of impacts is crucial for ensuring structural
safety. Currently, AI-based structural impact detection methods are widely used for their …

The geometric digitization of cable dome structures using Point Cloud Datasets (PCD) holds
significant importance as it serves as a foundational step in constructing the Digital Twin of …

Digital twin (DT) technology has received immense attention over the years due to the
promises it presents to various stakeholders in science and engineering. As a result …

This work proposes a mathematical framework to increase the robustness to rare events of
digital twins modelled with graphical models. We incorporate probabilistic model-checking …

Recent advancements in state-of-the-art technologies, including Artificial Intelligence (AI),
Internet of Things (IoT), and cloud computing, have led to the emergence of an innovative …