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Seongmin Heo
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2020 – today
- 2023
- [i1]Jaewook Lee, Seongmin Heo, Jay H. Lee:
Attention Mechanism for Lithium-Ion Battery Lifespan Prediction: Temporal and Cyclic Attention. CoRR abs/2311.10792 (2023) - 2022
- [j6]Boeun Kim, Kyung Hwan Ryu, Seongmin Heo:
Mean squared error criterion for model-based design of experiments with subset selection. Comput. Chem. Eng. 159: 107667 (2022) - [j5]Boeun Kim, Kyung Hwan Ryu, Ji Hee Kim, Seongmin Heo:
Feature variance regularization method for autoencoder-based one-class classification. Comput. Chem. Eng. 161: 107776 (2022) - [j4]Ji Hee Kim, Naeun Choi, Seongmin Heo:
An iterative constrained least squares method for continuous piecewise linear approximation. Comput. Chem. Eng. 168: 108056 (2022) - 2020
- [j3]Howoun Jung, Dasom Im, Seongmin Heo, Boeun Kim, Jay H. Lee:
Dynamic analysis and linear model predictive control for operational flexibility of post-combustion CO2 capture processes. Comput. Chem. Eng. 140: 106968 (2020)
2010 – 2019
- 2019
- [j2]Seongmin Heo, Jay H. Lee:
Parallel neural networks for improved nonlinear principal component analysis. Comput. Chem. Eng. 127: 1-10 (2019) - 2016
- [j1]Udit Gupta, Seongmin Heo, Aditya Bhan, Prodromos Daoutidis:
Time scale decomposition in complex reaction systems: A graph theoretic analysis. Comput. Chem. Eng. 95: 170-181 (2016) - 2015
- [c3]Seongmin Heo, Prodromos Daoutidis:
Input/output hierarchical clustering in process networks based on relative degrees. ACC 2015: 1363-1368 - 2013
- [c2]Seongmin Heo, Dimitrios Georgis, Prodromos Daoutidis:
Control structure design for complex energy integrated networks using graph-theoretic methods. MED 2013: 477-482 - 2012
- [c1]Seongmin Heo, Sujit S. Jogwar, Srinivas Rangarajan, Prodromos Daoutidis:
Graph reduction for hierarchical control of energy integrated process networks. CDC 2012: 6388-6393
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