Il Moon

According to our database, Il Moon authored at least 16 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Explainable Artificial Intelligence for Fault Diagnosis of Industrial Processes.

Kyojin Jang, Karl Ezra Salgado Pilario, Nayoung Lee, Il Moon, Jonggeol Na

IEEE Trans. Ind. Informatics, January, 2025

Novel inverse predictive system integrated with industrial lubricant information.

Minseong Kim, Chonghyo Joo, Jongkoo Lim, Seungho Yeom, Il Moon, Meng Qi, Junghwan Kim

Eng. Appl. Artif. Intell., 2025

2023

Dual attention-based multi-step ahead prediction enhancement for monitoring systems in industrial processes.

Nahyeon An, Seokyoung Hong, Yurim Kim, Hyungtae Cho, Jongkoo Lim, Il Moon, Junghwan Kim

Appl. Soft Comput., November, 2023

Correction to: A dynamic soft sensor based on hybrid neural networks to improve early off-spec detection.

Seokyoung Hong, Nahyeon An, Hyungtae Cho, Jongkoo Lim, In-Su Han, Il Moon, Junghwan Kim

Eng. Comput., October, 2023

A Dynamic Soft Sensor Based on Hybrid Neural Networks to Improve Early Off-spec Detection.

Seokyoung Hong, Nahyeon An, Hyungtae Cho, Jongkoo Lim, In-Su Han, Il Moon, Junghwan Kim

Eng. Comput., August, 2023

Multi-objective robust optimization of profit for a naphtha cracking furnace considering uncertainties in the feed composition.

Jeongdong Kim, Chonghyo Joo, Minsu Kim, Nahyeon An, Hyungtae Cho, Il Moon, Junghwan Kim

Expert Syst. Appl., April, 2023

Multi-objective optimization of explosive waste treatment process considering environment via Bayesian active learning.

Sunghyun Cho, Minsu Kim, Jaewon Lee, Areum Han, Jonggeol Na, Il Moon

Eng. Appl. Artif. Intell., 2023

2022

Adversarial Autoencoder Based Feature Learning for Fault Detection in Industrial Processes.

Kyojin Jang, Seokyoung Hong, Minsu Kim, Jonggeol Na, Il Moon

IEEE Trans. Ind. Informatics, 2022

Development of novel flow distribution apparatus for simulated moving bed to improve degree of mixing.

Youngjin Kim, Taejong Kim, Chanho Park, Jaewon Lee, Hyungtae Cho, Myungjun Kim, Il Moon

Comput. Chem. Eng., 2022

Time-series clustering approach for training data selection of a data-driven predictive model: Application to an industrial bio 2, 3-butanediol distillation process.

Yeongryeol Choi, Nahyeon An, Seokyoung Hong, Hyungtae Cho, Jongkoo Lim, In-Su Han, Il Moon, Junghwan Kim

Comput. Chem. Eng., 2022

2021

Techno-economic assessment of carbonate melt flue gas desulfurization process.

Juwon Lee, Hyungtae Cho, Il Moon, Igor Lubomirsky, Valery Kaplan, Junghwan Kim, Yuchan Ahn

Comput. Chem. Eng., 2021

2020

Spurious activation and operational integrity evaluation of redundant safety instrumented systems.

Meng Qi, Yufeng Kan, Xun Li, Xiaoying Wang, Dongfeng Zhao, Il Moon

Reliab. Eng. Syst. Saf., 2020

Finding the best operating condition in a novel process for explosive waste incineration using fluidized bed reactors.

Sunghyun Cho, Chanho Park, Jiheon Lee, Byeongil Lyu, Il Moon

Comput. Chem. Eng., 2020

2018

A multistream heat exchanger model with enthalpy feasibility.

Kyungjae Tak, Hweeung Kwon, Jaedeuk Park, Jae Hyun Cho, Il Moon

Comput. Chem. Eng., 2018

2017

Safety Analysis Embedded in Heat Exchanger Network Synthesis.

Andreja Nemet, Jirí Jaromír Klemes, Il Moon, Zdravko Kravanja

Comput. Chem. Eng., 2017

2016

Optimization of naphtha purchase price using a price prediction model.

Hweeung Kwon, Byeonggil Lyu, Kyungjae Tak, Jinsuk Lee, Jae Hyun Cho, Il Moon

Comput. Chem. Eng., 2016