[HTML][HTML] Unlocking the potential of digital twins in supply chains: A systematic review

SAH Zaidi, SA Khan, A Chaabane - Supply Chain Analytics, 2024 - Elsevier
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 …

AI Simulation by Digital Twins: Systematic Survey of the State of the Art and a Reference Framework

X Liu, I David - Proceedings of the ACM/IEEE 27th International …, 2024 - dl.acm.org
Insufficient data volume and quality are particularly pressing challenges in the adoption of
modern subsymbolic AI. To alleviate these challenges, AI simulation recommends …

Machine and deep learning for digital twin networks: A survey

B Qin, H Pan, Y Dai, X Si, X Huang… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Digital twin (DT) is a technology that precisely replicates physical entities and seamlessly
connects physical entities with virtual counterparts, which facilitates precise understanding …

Digital twins for cyber-biophysical systems: challenges and lessons learned

I David, P Archambault, Q Wolak, CV Vu… - 2023 ACM/IEEE 26th …, 2023 - ieeexplore.ieee.org
Digital twinning is gaining popularity in domains outside of traditional engineered systems,
including cyber-physical systems (CPS) with biological modalities, or cyber-biophysical …

MeDeT: Medical Device Digital Twins Creation with Few-shot Meta-learning

H Sartaj, S Ali, JM Gjøby - ACM Transactions on Software Engineering …, 2024 - dl.acm.org
Testing healthcare Internet of Things (IoT) applications at system and integration levels
necessitates integrating numerous medical devices. Challenges of incorporating medical …

Circular systems engineering

I David, D Bork, G Kappel - Software and Systems Modeling, 2024 - Springer
The perception of the value and propriety of modern engineered systems is changing. In
addition to their functional and extra-functional properties, nowadays' systems are also …

A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health Monitoring

V Karkaria, J Chen, C Luey… - International …, 2024 - asmedigitalcollection.asme.org
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 …

DEVS model construction as a reinforcement learning problem

I David, E Syriani - 2022 Annual Modeling and Simulation …, 2022 - ieeexplore.ieee.org
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 …

Automated Inference of Simulators in Digital Twins

I David, E Syriani - Handbook of Digital Twins, 2023 - taylorfrancis.com
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 …

[PDF][PDF] AI Simulation by Digital Twins

X Liu, I David - ACM/IEEE International Conference on Model Driven …, 2024 - xiaoranliu.com
Insufficient data volume and quality are particularly pressing challenges in the adoption of
modern subsymbolic AI. To alleviate these challenges, AI simulation recommends …