3 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 2 cited
A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health Monitoring
Vispi Karkaria, Jie Chen, Christopher Luey +4
We introduce a novel digital twin framework for predictive maintenance of long-term physical systems. Using monitoring tire health as an application, we show how the digital twin f…
cs.LG2024★ 3 cited
Towards a Digital Twin Framework in Additive Manufacturing: Machine Learning and Bayesian Optimization for Time Series Process Optimization
Vispi Karkaria, Anthony Goeckner, Rujing Zha +6
Laser-directed-energy deposition (DED) offers advantages in additive manufacturing (AM) for creating intricate geometries and material grading. Yet, challenges like material incons…
cs.CE2023★ 1 cited
XVoxel-Based Parametric Design Optimization of Feature Models
Ming Li, Chengfeng Lin, Wei Chen +3
Parametric optimization is an important product design technique, especially in the context of the modern parametric feature-based CAD paradigm. Realizing its full potential, howev…