no code implementations • 1 Mar 2024 • Amirul Islam Saimon, Emmanuel Yangue, Xiaowei Yue, Zhenyu, Kong, Chenang Liu
Additive manufacturing (AM) has already proved itself to be the potential alternative to widely-used subtractive manufacturing due to its extraordinary capacity of manufacturing highly customized products with minimum material wastage.
1 code implementation • 13 Dec 2021 • Yinan Wang, Wenbo Sun, Jionghua "Judy" Jin, Zhenyu "James" Kong, Xiaowei Yue
When part of the test samples are drawn from a distribution that is sufficiently far away from that of the training samples (a. k. a.
no code implementations • 27 Oct 2021 • Cheolhei Lee, Xing Wang, Jianguo Wu, Xiaowei Yue
Active learning is a subfield of machine learning that is devised for design and modeling of systems with highly expensive sampling costs.
no code implementations • 22 Sep 2021 • Areej AlBahar, Inyoung Kim, Xiaowei Yue
To tackle this challenge, Bayesian optimization, which conducts sequential design via a posterior distribution over the objective function, is a critical method used to find the global optimum of black-box functions.
no code implementations • 14 May 2021 • Cheolhei Lee, Kaiwen Wang, Jianguo Wu, Wenjun Cai, Xiaowei Yue
Active learning is a subfield of machine learning that focuses on improving the data collection efficiency of expensive-to-evaluate systems.
1 code implementation • 12 Dec 2020 • Yinan Wang, Kaiwen Wang, Wenjun Cai, Xiaowei Yue
Finite element analysis (FEA) has been widely used to generate simulations of complex and nonlinear systems.
no code implementations • 21 Nov 2020 • Cheolhei Lee, Jianguo Wu, Wenjia Wang, Xiaowei Yue
Developing machine learning enabled smart manufacturing is promising for composite structures assembly process.
no code implementations • 20 Nov 2020 • Yinan Wang, Diane Oyen, Weihong, Guo, Anishi Mehta, Cory Braker Scott, Nishant Panda, M. Giselle Fernández-Godino, Gowri Srinivasan, Xiaowei Yue
Catastrophic failure in brittle materials is often due to the rapid growth and coalescence of cracks aided by high internal stresses.
no code implementations • 24 Sep 2020 • Ruiyu Xu, Jianguo Wu, Xiaowei Yue, Yongxiang Li
A tuning method based on Bayesian information criterion and change-point detection accuracy is proposed for penalty coefficients selection.
1 code implementation • 28 May 2020 • Yinan Wang, Weihong "Grace" Guo, Xiaowei Yue
Feature extraction for tensor data serves as an important step in many tasks such as anomaly detection, process monitoring, image classification, and quality control.
no code implementations • 23 Apr 2020 • Xiaowei Yue, Yuchen Wen, Jeffrey H. Hunt, Jianjun Shi
In the machine learning domain, active learning is an iterative data selection algorithm for maximizing information acquisition and improving model performance with limited training samples.