2022 Annual Meeting

Session: Advances in Machine Learning and Intelligent Systems I

Chair

Zhang, Q., University of Minnesota

Co-Chair

Heo, S., Korea Advanced Institute of Science and Technology (KAIST)

Presentations

08:00 AM

(432a) Learning-Based Estimation for Distributed Parameter Systems
Xie, J., Huang, B., Dubljevic, S.

08:19 AM

(432b) Developing an LSTM-ANN Model for Prediction and Optimal Control of Kappa Number and Degree of Polymerization in a Batch Pulp Digester
Choi, H. K., Shah, P., Kwon, J.

08:38 AM

(432c) Lstm Neural Networks and Nonlinear State Space Model Identification
Li, J., Qin, S. J.

08:57 AM

(432d) Statistical Machine-Learning-Based Predictive Control of Nonlinear Time-Delay Processes
Alnajdi, A., Christofides, P., Abdullah, F., Suryavanshi, A. V., Alhajeri, M., Wu, Z.

09:16 AM

(432e) Fast Symbolic Regression with Constraints
Sarwar, O., Sahinidis, N.

09:35 AM

(432f) A Kinetic Model-Based Transfer Learning Approach to Predicting Cell Line-Specific Metabolic Behavior in Biomanufacturing
Lu, Y. A., McCann, M. G., Hu, W. S., Zhang, Q.

09:54 AM

(432g) Break the Trade-Off Relationship between Detection and Diagnosis Performance through Explainable Deep Learning
Moon, I., Na, J., Jang, K., Pilario, K., Lee, N., Lee, I.

10:13 AM

(432h) Demonstration of Closed-Loop Machine-Learning-Guided Experimental Platform for the Discovery of Novel Dye-like Compounds
Canty, R., Koscher, B., Ha, S. K., Jensen, K., McDonald, M.