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Call For Papers

The ICDTML bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Machine Learning, encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Digital twins in predictive maintenance
  • Machine learning for virtual modeling
  • Applications of digital twins in engineering
  • Data integration for digital twin systems
  • Real-time simulations using digital twins
  • Challenges in creating digital twins
  • Impact of digital twins on industry 4.0
  • AI-driven insights from digital twins
  • Case studies of digital twin implementations
  • Interoperability of digital twin technologies
  • Digital twins for asset management
  • Machine learning algorithms for digital twins
  • Future trends in digital twin technology
  • Digital twins in smart cities
  • Ethical considerations in digital twin usage
  • Scalability of digital twin solutions
  • Digital twins for environmental monitoring
  • User experience in digital twin applications
  • Data security in digital twin systems
  • Machine learning for enhanced digital twins

Evaluation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.