MO1.B.1
Correlation- and Causal-based Methodologies for High-Dimensional Process Monitoring
Marco Reis, University of Coimbra, Portugal
Session:
MO1.B: Data-Driven Process Monitoring and Hybrid Modeling Oral
Track:
Track
Location:
Finger Rock
Presentation Time:
Mon, 11 Jan, 14:00 - 14:20 MST (UTC -7)
Presentation
Discussion
Resources
No resources available.
Session MO1.B
MO1.B.1: Correlation- and Causal-based Methodologies for High-Dimensional Process Monitoring
Marco Reis, University of Coimbra, Portugal
MO1.B.2: REGIME-DEPENDENT TRANSFERABILITY OF DATA-SCARCE SOFT SENSORS IN WASTEWATER TREATMENT
Jongyeop Lee, Seoul National University, Korea (South); Wonhyeok Kim, Samsung Electronics Co., Ltd., Korea (South); Hyeongro Yoon, Hoseong Lee, Jong Min Lee, Seoul National University, Korea (South)
MO1.B.3: A FRAMEWORK FOR SIMULTANEOUS DESIGN OF PARALLEL EXPERIMENTS IN PYOMO.DOE
Shuvashish Mondal, Daniel Laky, Alexander Dowling, University of Notre Dame, United States
MO1.B.4: Calibration-free curve resolution with incomplete kinetic knowledge
Sidharth Laxminarayan, Lily Cheung, Fani Boukouvala, Georgia Institute of Technology, United States
Resources
No resources available.