Digital Twin Technology and Data-Driven Approaches in Research

The field is moving towards the integration of digital twin technology and data-driven approaches to improve decision-making and enable proactive strategies in various domains. Digital twin systems are being developed to facilitate real-time data-driven decision-making and digital agent functions in a more distributed and mobile manner. Data-driven approaches are also being applied to improve building maintenance, conservation practices, and cultural heritage preservation. Noteworthy papers include:

  • A paper on a unified framework for cultural heritage data historicity and migration, which addresses the complexities of processing heterogeneous cultural heritage data.
  • A paper on a multi-layer digital twin system for future mobile metaverse, which coordinates local, edge, and cloud digital twins for future network architecture and functions.

Sources

A Diffusion-Based Framework for Configurable and Realistic Multi-Storage Trace Generation

On Transferring, Merging, and Splitting Task-Oriented Network Digital Twins

Multi-layer Digital Twin System for Future Mobile Metaverse

Data-Driven Smart Maintenance of Historic Buildings

A Unified Framework for Cultural Heritage Data Historicity and Migration: The ARGUS Approach

A Use Case Lens on Digital Cultural Heritage

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