[HTML][HTML] Unlocking the potential of digital twins in supply chains: A systematic review
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 …
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
Insufficient data volume and quality are particularly pressing challenges in the adoption of
modern subsymbolic AI. To alleviate these challenges, AI simulation recommends …
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 …
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 …
including cyber-physical systems (CPS) with biological modalities, or cyber-biophysical …
MeDeT: Medical Device Digital Twins Creation with Few-shot Meta-learning
Testing healthcare Internet of Things (IoT) applications at system and integration levels
necessitates integrating numerous medical devices. Challenges of incorporating medical …
necessitates integrating numerous medical devices. Challenges of incorporating medical …
Circular systems engineering
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 …
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 …
with long term operations. Using monitoring tire health as an application, we show how the …
DEVS model construction as a reinforcement learning problem
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 …
physical systems and digital twins. The inherent complexity of such systems renders the …
Automated Inference of Simulators in Digital Twins
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 …
intent of a Digital Twin is to provide data-intensive software applications with a proxy …
[PDF][PDF] AI Simulation by Digital Twins
Insufficient data volume and quality are particularly pressing challenges in the adoption of
modern subsymbolic AI. To alleviate these challenges, AI simulation recommends …
modern subsymbolic AI. To alleviate these challenges, AI simulation recommends …