Minjoo Ku

According to our database, Minjoo Ku authored at least 3 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2023

Bayesian-based uncertainty-aware tool-wear prediction model in end-milling process of titanium alloy.

Gyeongho Kim, Sang Min Yang, Dong Min Kim, Sinwon Kim, Jaegyeong Choi, Minjoo Ku, Sunghoon Lim, Hyung Wook Park

Appl. Soft Comput., November, 2023

Developing a semi-supervised learning and ordinal classification framework for quality level prediction in manufacturing.

Gyeongho Kim, Jaegyeong Choi, Minjoo Ku, Sunghoon Lim

Comput. Ind. Eng., July, 2023

2021

A Multimodal Deep Learning-Based Fault Detection Model for a Plastic Injection Molding Process.

Gyeongho Kim, Jaegyeong Choi, Minjoo Ku, Hyewon Cho, Sunghoon Lim

IEEE Access, 2021