Seung-Jun Shin

Optimizing the mean and variance of bead geometry in the wire + arc additive manufacturing using a desirability function method

D. Kim, Dong-Hee Lee, Jin-Soo Cho, 2022, The International Journal of Advanced Manufacturing Technology.

Real-time anomaly detection using convolutional neural network in wire arc additive manufacturing: molybdenum material

Dong-Hee Lee, Gi-Jeong Seo, Seung-Jun Shin, 2022, Journal of Materials Processing Technology.

Predictive Modeling for Machining Power Based on Multi-source Transfer Learning in Metal Cutting

Seung-Jun Shin, Young-Min Kim, H. Cho, 2021, International Journal of Precision Engineering and Manufacturing-Green Technology.

Detecting balling defects using multisource transfer learning in wire arc additive manufacturing

Sainand M. Jadhav, Seung-Jun Shin, Duck Bong Kim, 2023, Journal of Computational Design and Engineering.

Data-fused and concatenated-ensemble learning for in-situ anomaly detection in wire and arc-based direct energy deposition

Seung-Jun Shin, Duck Bong Kim, Hamin Chong, 2024, Journal of Manufacturing Processes.