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Digital Twin Technologies: Concepts, Methods, and Applications

Special Issue Information

Keywords

  • foundations of digital twins: modeling, simulation, standardization, and interoperability
  • AI and machine learning for digital twins: predictive modeling, anomaly detection, and adaptive control
  • cybersecurity and trust: data integrity, privacy, and resilient architectures for digital twin systems
  • domain-specific applications: energy and power systems, Industry 4.0, smart grids, transportation, healthcare, aerospace, and urban infrastructure
  • experimental twins and scaled prototypes: validation methods and real-world case studies
  • future directions: scalable architectures, edge/cloud integration, and cross-domain digital twin ecosystems
  • human-in-the-loop in digital twins: operator-in-the-loop control, decision support, human factor modeling, trust, and explainability
  • immersive and extended reality for digital twins: VR/AR/MR/XR interfaces, immersive analytics and training, and human–AI and AI–AI collaboration

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Published Papers

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J. Exp. Theor. Anal. - ISSN 2813-4648