Kevin I-Kai Wang
Industrial and Manufacturing Engineering · 2020
A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Industrial and Manufacturing Engineering — 11 citations into it
Whom Kevin I-Kai Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Kevin I-Kai Wang's perspective
Ordered by how strongly the researchers Kevin I-Kai Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles
- Scikit-learn: Machine Learning in Python
- Shaping the digital twin for design and production engineering
- Activity Recognition from User-Annotated Acceleration Data
- Digital twin-driven product design, manufacturing and service with big data (The International Journal of Advanced Manufacturing Technology)
- Bayesian estimation supersedes the t test. (Journal of experimental psychology. General)
- Recognizing human motion with multiple acceleration sensors (2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236))
- Semi-Supervised Learning
- Digital Twin Shop-Floor: A New Shop-Floor Paradigm Towards Smart Manufacturing (IEEE Access)
- Machine Recognition of Human Activities: A Survey
Their papers
- Deep-Learning-Enhanced Human Activity Recognition for Internet of Healthcare Things (2020) — 406 citations
- Sensor data quality: a systematic review (2020) — 316 citations
- Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues (2020) — 1,352 citations