Digital twins are a relatively new form of digital modeling that has been gaining popularity in
recent years. This is in large part due to their ability to update in real time to their physical …

Abstract Digital Twins (DTs) developments are still in the pilot stages of deployment in
supply chain management (SCM), and their full integration with real-time synchronization …

Digital twin (DT) is a technology that precisely replicates physical entities and seamlessly
connects physical entities with virtual counterparts, which facilitates precise understanding …

Digital twinning is gaining popularity in domains outside of traditional engineered systems,
including cyber-physical systems (CPS) with biological modalities, or cyber-biophysical …

Healthcare applications with the Internet of Things (IoT) are often safety‐critical, thus, require
extensive testing. Such applications are often connected to smart medical devices from …

Testing healthcare Internet of Things (IoT) applications at system and integration levels
necessitates integrating numerous medical devices. Challenges of incorporating medical …

We introduce a novel digital twin framework for predictive maintenance of physical systems
with long term operations. Using monitoring tire health as an application, we show how the …

Insufficient data volume and quality are particularly pressing challenges in the adoption of
modern subsymbolic AI. To alleviate these challenges, AI simulation recommends …

Simulators are crucial components in many software-intensive systems, such as cyber-
physical systems and digital twins. The inherent complexity of such systems renders the …

Digital Twins are real-time and high-fidelity virtual representations of physical assets [1]. The
intent of a Digital Twin is to provide data-intensive software applications with a proxy …