Doctor for Machines: A Failure Pattern Analysis Solution for Industry 4.0
- Dhaval Patel
- Nianjun Zhou
- et al.
- 2020
- Big Data 2020
Conference paper
Publications
87 results for Jayant Kalagnanam
A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees
- Haoran Zhu
- Pavankumar Murali
- et al.
- 2020
- NeurIPS 2020
Conference paperPruning Deep Neural Networks with ell_{0}-constrained Optimization
- Dzung T. Phan
- Lam Nguyen
- et al.
- 2020
- ICDM 2020
Conference paperDelay-adaptive distributed stochastic optimization
- Zhaolin Ren
- Zhengyuan Zhou
- et al.
- 2020
- AAAI 2020
Conference paperDQA: Scalable, Automated and Interactive Data Quality Advisor
- Shrey Shrivastava
- Dhaval Patel
- et al.
- 2019
- Big Data 2019
Conference paperAdvanced production plant optimization with AI
- Jayant R. Kalagnanam
- Dariusz Piotrowski
- et al.
- 2019
- ADIP 2019
Conference paperProviding cooperative data analytics for real applications using machine learning
- Arun Iyengar
- Jayant R. Kalagnanam
- et al.
- 2019
- ICDCS 2019
Conference paperA prediction-optimization framework for site-wide process optimization
- Dharmashankar Subramanian
- Pavankumar Murali
- et al.
- 2019
- ICIOT 2019
Conference paperDevelopment of hp-inverse model by using generalized polynomial chaos
- Kyongmin Yeo
- Youngdeok Hwang
- et al.
- 2019
- Comput. Methods Appl. Mech. Eng.
PaperChieF: A Change Pattern based Interpretable Failure Analyzer
- Dhaval Patel
- Lam Nguyen
- et al.
- 2018
- Big Data 2018
Conference paper