Machine learning-based heat deflection temperature prediction and effect analysis in polypropylene composites using catboost and shapley additive explanations

C Joo, H Park, J Lim, H Cho, J Kim - Engineering Applications of Artificial …, 2023 - Elsevier
Among the various physical properties of polypropylene composites (PPCs), heat deflection
temperature (HDT) during PPC production is significant because it is directly related to the …

Digital twin-driven prognostics and health management for industrial assets

B Xiao, J Zhong, X Bao, L Chen, J Bao, Y Zheng - Scientific Reports, 2024 - nature.com
As a facilitator of smart upgrading, digital twin (DT) is emerging as a driving force in
prognostics and health management (PHM). Faults can lead to degradation or malfunction …

A genetic algorithm-based optimal selection and blending ratio of plastic waste for maximizing economic potential

C Joo, J Lee, J Lim, J Kim, H Cho - Process Safety and Environmental …, 2024 - Elsevier
Pyrolysis of plastic waste presents an innovative solution to convert plastics into valuable
fuels like oil and gas, thereby contributing to circular economy and sustainability. The …

Multiobjective Optimization of CO2 Emission and Net Profit for a Naphtha Cracking Furnace Using a Deep Neural Network with a Nondominated Sorting Genetic …

C Joo, H Kwon, J Lim, J Lee, J Kim - ACS Sustainable Chemistry …, 2024 - ACS Publications
A naphtha-cracking furnace converts naphtha to ethylene (EL) and propylene (PL); the
yields depend on the coil outlet temperature (COT) and naphtha composition. However …

[HTML][HTML] pyAPEP: An all-in-one software package for the automated preparation of adsorption process simulations

S Ga, N An, C Joo, J Kim - Computer Physics Communications, 2023 - Elsevier
Since many future energy technologies, such as power generation with carbon-free
hydrogen, biogas, and carbon capture, require sophisticated gas separation processes …

IMD-MP: Imputation of Missing Data in IoT Based on Matrix Profile and Spatio-temporal Correlations.

GV Lakshmi, S Gopikrishnan - Journal of Universal …, 2024 - search.ebscohost.com
Data in the Internet of Things (IoT) domain may be missing due to connectivity errors,
environmental extremes, sensor malfunctions, and human errors. Despite the many …

An Overview of Graph Data Missing Value Imputation

J Wu, X Tang, G Liu, B Wu - International Artificial Intelligence Conference, 2023 - Springer
Graph data holds a significant position in various fields, enjoying widespread applications.
However, practical applications Missing data not only diminishes the capacity for analyzing …

Data-driven Modeling for Valve Size and Type Prediction Using Machine Learning

C Kim, M Choi, C Joo, AR Lee, Y Gun… - Korean Chemical …, 2024 - koreascience.kr
Valves play an essential role in a chemical plant such as regulating fluid flow and pressure.
Therefore, optimal selection of the valve size and type is essential task. Valve size and type …

Architectural Design of Electricity Power Consumption Misuse Detection Based on Light Gradient Boosting Machine Using Blockchain Technology

S Hadi, WA Syafei, A Wibowo - 2023 International Conference …, 2023 - ieeexplore.ieee.org
This research focuses on blockchain architecture design for Electricity misuse detection is a
critical concern in contemporary energy management systems. Detecting and preventing …