... extrapolation within a unified framework. The work focuses on methodological validation using a controlled synthetic benchmark dataset rather than deployment-level industrial digital twin implementation. The framework is intended as a foundation for future experimentally validated degradation prediction...

... often leads to instability, poor reproducibility and sensitivity to user expertise, particularly in manufacturing-oriented thermal modelling and digital twin applications. Design/methodology/approach A genetic algorithm (GA)-based meta-optimization framework is proposed to automate the selection...

...Aswin Karkadakattil Purpose This study presents a data-efficient and physically constrained digital twin framework for monitoring degradation and performance loss in engineered systems, with emphasis on sustainability-oriented applications where sensing availability, historical data...

..., CV and NLP into a unified regulatory framework through the core carrier of “Digital Twin” and the computing paradigm of “Cloud-Edge Collaboration”, solving the key transition problem from “single-point intelligence” to “system intelligence”. Keyi Shi can be contacted at: shikeyi627@163.com...

... element simulations, which are costly and time-intensive. This study proposes a fully computational, artificial intelligence (AI)-driven digital twin framework capable of performing both health-state classification and remaining useful life (RUL) prediction using physics-inspired synthetic AE data...

... collaboration (HRC) for smart manufacturing. The framework integrates federated learning (FL), reinforcement learning (RL) and differential privacy to enhance robotic decision-making while ensuring data security. A digital twin simulation of a smart factory is used for evaluation, where collaborative robots...

...Weifei Hu; Tongzhou Zhang; Xiaoyu Deng; Zhenyu Liu; Jianrong Tan Digital twin (DT) is an emerging technology that enables sophisticated interaction between physical objects and their virtual replicas. Although DT has recently gained significant attraction in both industry and academia...