- Huixin Tian, Qiangqiang Xu. A spatio-temporal fault diagnosis method based on STF-DBN for reciprocating compressor. J. Intelligent Manufacturing, 35(1):199-216, January 2024.
- Bingyu Lu, Biqing Huang. A texture-aware one-stage fabric defect detection network with adaptive feature fusion and multi-task training. J. Intelligent Manufacturing, 35(3):1267-1280, March 2024.
- Xuan Jing, Xifan Yao, Min Liu, Jiajun Zhou. Multi-agent reinforcement learning based on graph convolutional network for flexible job shop scheduling. J. Intelligent Manufacturing, 35(1):75-93, January 2024.
- Ramy M. Khalifa, Soumaya Yacout, Samuel Bassetto. Root cause analysis of an out-of-control process using a logical analysis of data regression model and exponential weighted moving average. J. Intelligent Manufacturing, 35(3):1321-1336, March 2024.
- Hangbin Zheng, Tianyuan Liu, Jiayu Liu, Jinsong Bao. Visual analytics for digital twins: a conceptual framework and case study. J. Intelligent Manufacturing, 35(4):1671-1686, April 2024.
- Jiaqi Zhao, Xiaolong Qian, Yunzhou Zhang, Dexing Shan, Xiaozheng Liu, Sonya Coleman, Dermot Kerr. A knowledge distillation-based multi-scale relation-prototypical network for cross-domain few-shot defect classification. J. Intelligent Manufacturing, 35(2):841-857, February 2024.
- Xiaochen Zheng, Xiaodu Hu, Rebeca Arista, Jinzhi Lu, Jyri Sorvari, Joachim Lentes, Fernando Ubis, Dimitris Kiritsis. A semantic-driven tradespace framework to accelerate aircraft manufacturing system design. J. Intelligent Manufacturing, 35(1):175-198, January 2024.
- Changxuan Zhao, Shreyes N. Melkote. Learning the manufacturing capabilities of machining and finishing processes using a deep neural network model. J. Intelligent Manufacturing, 35(4):1845-1865, April 2024.
- Jiewu Leng, Zisheng Lin, Zhiqiang Huang, Ruijun Ye, Qiang Liu 0031, Xin Chen 0005. Rapid simplification of 3D geometry model of mechanisms in the digital twins-driven manufacturing system design. J. Intelligent Manufacturing, 35(6):2765-2786, August 2024.
- Ming-Chuan Chiu, Yu-Hsiang Chiang, Jing-Er Chiu. Developing an explainable hybrid deep learning model in digital transformation: an empirical study. J. Intelligent Manufacturing, 35(4):1793-1810, April 2024.