Charles Day

Industrial and Manufacturing Engineering · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Charles Day trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Fei Tao
  2. Qinglin Qi
  3. Pramila P. Shinde
  4. Alem Čolaković

Papers from Charles Day's perspective

Ordered by how strongly the researchers Charles Day trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles
  2. C2PS: A Digital Twin Architecture Reference Model for the Cloud-Based Cyber-Physical Systems (IEEE Access)
  3. Digital twin-driven product design, manufacturing and service with big data (The International Journal of Advanced Manufacturing Technology)
  4. Shaping the digital twin for design and production engineering
  5. A Digital Twin-Based Approach for Designing and Multi-Objective Optimization of Hollow Glass Production Line (IEEE Access)
  6. Digital Twin Shop-Floor: A New Shop-Floor Paradigm Towards Smart Manufacturing (IEEE Access)
  7. Deep learning applications and challenges in big data analytics
  8. Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison (IEEE Access)
  9. An application framework of digital twin and its case study (Journal of Ambient Intelligence and Humanized Computing)
  10. Internet of Things (IoT): A review of enabling technologies, challenges, and open research issues (Comput. Networks)

Their papers