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2020 – today
- 2023
[j2]Huifang Niu
, Jianchao Zeng, Hui Shi, Xiaohong Zhang, Jianyu Liang:
Degradation modeling and remaining useful life prediction for a multi-component system with stochastic dependence. Comput. Ind. Eng. 175: 108889 (2023)- [i1]Aparna S. Varde, Jianyu Liang:
Machine Learning Approaches in Agile Manufacturing with Recycled Materials for Sustainability. CoRR abs/2303.08291 (2023) - 2022
- [j1]Zhaotong Yang, Mei Yang, Richard D. Sisson Jr., Yanhua Li, Jianyu Liang:
Machine learning model to predict tensile properties of annealed Ti6Al4V parts prepared by selective laser melting. Artif. Intell. Eng. Des. Anal. Manuf. 36: e30 (2022) - [c5]Aparna S. Varde, Jianyu Liang, Zhaotong Yang, Richard D. Sisson Jr.:
Ishikawa, JESS, and Visual Analytics for Engineering. IEEE Big Data 2022: 6824-6826
2010 – 2019
- 2012
- [c4]Fabienne Miller, Erin H. DeSilva, Jianyu Liang:
Will texting help student learning? A case study of using mobile devices in university classrooms. FIE 2012: 1-5
2000 – 2009
- 2008
- [c3]Aparna S. Varde, Stephen Bique, Elke A. Rundensteiner, David C. Brown, Jianyu Liang, Richard D. Sisson Jr., Ehsan Sheybani, Brian Sayre:
Component Selection to Optimize Distance Function Learning in Complex Scientific Data Sets. DEXA 2008: 269-282 - 2007
- [c2]Aparna S. Varde, Elke A. Rundensteiner, Giti Javidi, Ehsan Sheybani, Jianyu Liang:
Learning the Relative Importance of Features in Image Data. ICDE Workshops 2007: 237-244 - 2006
- [c1]Aparna S. Varde, Jianyu Liang, Elke A. Rundensteiner, Richard D. Sisson Jr.:
Mining Images of Material Nanostructure Data. ICDCIT 2006: 403-413
Coauthor Index
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